[r-cran-zelig] 44/102: Import Upstream version 2.8-3
Andreas Tille
tille at debian.org
Sun Jan 8 16:58:20 UTC 2017
This is an automated email from the git hooks/post-receive script.
tille pushed a commit to branch master
in repository r-cran-zelig.
commit 96defde726eedc71a3334fec2a047a8dac75e570
Author: Andreas Tille <tille at debian.org>
Date: Sun Jan 8 09:39:14 2017 +0100
Import Upstream version 2.8-3
---
DESCRIPTION | 6 +-
NAMESPACE | 8 +-
R/MLutils.R | 247 +
R/S4Utilities.R | 54 -
R/describe.exp.R | 3 +-
R/describe.irt1d.R | 2 +-
R/describe.logit.bayes.R | 2 +-
R/describe.nlme.R | 2 +-
R/describe.sur.R | 2 +-
R/get.R | 13 +-
R/help.zelig.R | 2 +-
R/param.glm.R | 9 +-
R/param.multiple.R | 2 +-
R/param.survreg.R | 2 +-
R/param.vglm.R | 2 +-
R/parse.formula.R | 598 +-
R/qi.MCMCZelig.R | 2 +-
R/qi.glm.R | 4 +-
R/qi.lm.R | 2 +-
R/qi.multiple.R | 2 +-
R/qi.netlm.R | 2 +-
R/qi.netlogit.R | 4 +-
R/qi.polr.R | 2 +-
R/qi.survreg.R | 4 +-
R/qi.vglm.R | 6 +-
R/setx.Arima.R | 2 +-
R/setx.MI.R | 4 +-
R/setx.default.R | 9 +-
R/setx.eiRxC.R | 6 +-
R/setx.netlm.R | 1 -
R/setx.netlogit.R | 1 -
R/setx.noX.R | 10 +-
R/setx.strata.R | 8 +-
R/sim.cond.R | 2 +-
R/sim.default.R | 4 +-
R/sim.setx.MI.R | 4 +-
R/sim.setx.strata.R | 10 +-
R/sim.setxArima.R | 434 +-
R/summary.MI.R | 17 +-
R/terms.multiple.R | 324 +-
R/zelig.default.R | 19 +-
R/zvcClient.R | 1112 +
README | 16 +
demo/mi.R | 16 +
inst/doc/index.shtml | 2 +-
inst/doc/models/bprobit.aux | 4 +-
inst/doc/models/bprobit.tex | 2 +-
inst/doc/models/eiRxC.tex | 4 +-
inst/doc/zelig.aux | 4 +-
inst/doc/zelig.bbl | 4 +-
inst/doc/zelig.blg | 2 +-
inst/doc/zelig.log | 34 +-
inst/doc/zelig.out | 2 +-
inst/doc/zelig.pdf | 7976 +++---
inst/doc/zelig.tex | 23 +-
inst/doc/zelig.toc | 4 +-
inst/unitTests/Makefile | 26 +
inst/unitTests/report.html | 93 +
inst/unitTests/report.txt | 25 +
inst/unitTests/runit.multiple.R | 113 +
inst/unitTests/terms.multiple.RData | Bin 0 -> 862 bytes
inst/zideal/zideal.RData | Bin 0 -> 417 bytes
inst/zideal/zvcServer.R | 1289 +
man/house.Rd | 30 -
tests/Rplots.ps | 48138 ++++++++++++++++++++++++++++++++++
tests/check.describe.R | 93 +
tests/doRUnit.R | 39 +
tests/test.parse.formula.RData | Bin 0 -> 23578 bytes
tests/test.terms.multiple.RData | Bin 0 -> 10475 bytes
tests/testdemos.R | 87 +
70 files changed, 56153 insertions(+), 4822 deletions(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index 4dab193..18f8d50 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
Package: Zelig
-Version: 2.8-2
-Date: 2007-03-03
+Version: 2.8-3
+Date: 2007-05-29
Title: Everyone's Statistical Software
Author: Kosuke Imai <kimai at Princeton.Edu>,
Gary King <king at harvard.edu>,
@@ -22,4 +22,4 @@ Description: Zelig is an easy-to-use program that can estimate, and
translates them into quantities of direct interest.
License: GPL version 2 or newer
URL: http://gking.harvard.edu/zelig
-Packaged: Sat Mar 3 13:03:33 2007; king
+Packaged: Tue May 29 22:48:20 2007; king
diff --git a/NAMESPACE b/NAMESPACE
index 6353b0d..07304cf 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -41,10 +41,10 @@ export( current.packages,
zeligDescribeModelXML
)
-S3method("$", ZeligS4vglm)
-S3method("$", summary.ZeligS4vglm)
-S3method("$<-", ZeligS4vglm)
-S3method("$<-", summary.ZeligS4vglm)
+#S3method("$", ZeligS4vglm)
+#S3method("$", summary.ZeligS4vglm)
+#S3method("$<-", ZeligS4vglm)
+#S3method("$<-", summary.ZeligS4vglm)
S3method(formula, vglm)
S3method(model.matrix, multiple)
S3method(model.frame, multiple)
diff --git a/R/MLutils.R b/R/MLutils.R
new file mode 100644
index 0000000..f8a76f9
--- /dev/null
+++ b/R/MLutils.R
@@ -0,0 +1,247 @@
+###
+## Take a formula in any of the reduced form or in a structural form
+## and returns the most reduced form of that formula
+##
+
+reduceMI <-function(f){
+ if(class(f)=="list")
+ f <- structuralToReduced(f)
+ return(.reduceFurther(f))
+}
+
+
+##
+# Transform the multilevel's structural form formulas into
+# reduced form
+# input: formula in structural form ( a list of formulas)
+# output: formula in reduced form
+# possible bugs: What if class(f) is multiple and not list??
+
+structuralToReduced <- function(f){
+
+ ## input should be a list
+ if(class(f) != "list" || (class(f)=="list" && length(f)<2))
+ stop("the input should be a list of formulas")
+
+ ## take the first formula; It should be of length 3
+ main.fml <- f[[1]]
+ if(length(main.fml)!=3)
+ stop("the main formula in the extended form should be of length 3 !")
+ lhs<- main.fml[[2]]
+ TT <- terms(main.fml,specials="tag")
+ TT.labels <- attr(TT,"term.labels")
+ TT.vars <- attr(TT,"variables")
+ tagattr<-attr(TT,"specials")$tag
+ hastag<-!(is.null(tagattr))
+ if (hastag){
+ for(j in tagattr){
+ lind<-j-1
+ vind<-j+1
+ tg<- .deparseTag(TT.vars[[vind]])
+ whicheq<-which(names(f) %in% tg$label)
+ if (length(whicheq)!=0)
+ tg$label<-deparse(f[[whicheq]][[2]])
+ else
+ stop("one of the equation's name is expected to be ",tg$label)
+ TT.labels[[lind]]<-.newTag(tg)
+ res<-(as.formula(paste(lhs,"~",paste(TT.labels,collapse="+"))))
+ }
+ } else
+ stop("tag is missing in the first equation\n")
+ return(res)
+}
+
+###
+## take a formula in the reduced form and return it in
+## lmer representation (basically remove starting "tag"
+## of each term)
+## possible errors: What if input is not in reduced form?
+## Maybe call reduceMI first??
+
+tolmerFormat<-function(f){
+ lhs <- f[[2]]
+ tt <- terms(f, specials="tag")
+ tt.labels<-attr(tt,"term.labels")
+ for (i in 1:length(tt.labels)){
+ tt.labels[[i]]<-.trim(tt.labels[[i]])
+ tt.labels[[i]]<-gsub('^tag',"",tt.labels[[i]])
+ }
+ rhs <- paste(tt.labels,collapse="+")
+ res <- as.formula(paste(lhs,"~",rhs,sep=""))
+ return(res)
+}
+
+
+###
+## given a formula in a reduced from, output the most reduced one
+##
+
+.reduceFurther <- function(f){
+
+ if(length(f)!=3)
+ stop("the main formula in the extended form should be of length 3 !")
+ lhs<- f[[2]]
+ TT <- terms(f,specials="tag")
+ TT.labels <- attr(TT,"term.labels")
+ TT.vars <- attr(TT,"variables")
+ tagattr<-attr(TT,"specials")$tag
+ hastag<-!(is.null(tagattr))
+ lstOfTags<-c()
+ if (hastag){
+ for(j in tagattr){
+ vind<-j+1
+ lstOfTags<-c(lstOfTags,.expandTag(.deparseTag(TT.vars[[vind]])))
+ }
+ } else
+ stop("tag is missing in the first equation\n")
+ tmp <- paste(lstOfTags,collapse="+")
+ rhs<-paste(.replace(TT.labels,tagattr-1,tmp),collapse="+" )
+ return(as.formula(paste(lhs,"~",rhs,sep="")))
+}
+
+###
+## Helper function which takes the term with tag and return
+## all its parts
+##
+## input: a tag like call/list i.e. tag(z1,w1+w2 | state)
+## output: list(var= "z1", label="w1 + w2", id="state")
+
+.deparseTag <- function(f){
+
+ f <- as.character(f)
+ res<-list()
+ if(length(f) == 3){
+ ## tag(var,label|id) or tag(var,label)
+ res$var <- f[[2]]
+ tmp <- .trim(unlist(strsplit(f[[3]],"|",fixed=TRUE)))
+ if(length(tmp) == 2){
+ ## tag(var,label|id)
+ res$label <- tmp[[1]]
+ res$id <- tmp[[2]]
+ }else{
+ ## tag(var,label)
+ if(length(tmp)==1){
+ res$label <-tmp[[1]]
+ res$id <- "none"
+ }else
+ stop("wrong use of tag function!!")
+ }
+
+ } else {
+ ## tag(var|id)
+ tmp <- .trim(unlist(strsplit(f[[2]],"|",fixed=TRUE)))
+ res$var <- tmp[[1]]
+ res$id <- tmp[[2]]
+ res$label="none"
+ }
+ return(res)
+}
+
+###
+## takes the output from .deparseTag (a list) and construct a new tag
+## as a string
+## i.e. takes list(var="z",label="w1",id="state") and output "tag(z,w1|state)
+
+.newTag <- function(lst){
+
+ res <- "tag("
+ if (lst$var != "none") # must have var
+ res <- paste(res,lst$var,sep="")
+ else
+ stop("wrong use of tag(); variable is missing")
+ if (lst$label !="none"){ ## tag(z,gamma??)
+ res <-paste(res,",",sep="")
+ res <- paste(res,lst$label,sep="")
+ if(lst$id != "none") ## tag(z,gamma|state)
+ res <- paste(res,"|",lst$id,sep="")
+ }else{ ## tag(z|state)
+ res <-paste(res,"|",sep="")
+ if(lst$id !="none")
+ res <- paste(res,lst$id,sep="")
+ else
+ stop("wrong use of tab") # tag(x |)
+ }
+ res <- paste(res,")",sep = "")
+ return(res)
+}
+
+
+###
+## expands tag. tag(1,w1+w2 | state) => tag(w1|state) + tag(w2|state)
+## tag(z,w1+w2 | state) => tag(z:w1|state)+ tag(z:w2|state)
+## input tag as a list; i.e the output from .deparseTag
+
+
+
+.expandTag <- function(l){
+
+ if(l$var == "1" && l$label!="none"){
+ ## tag(1,z1 | state) == tag (z1|state)
+ l$var <- l$label
+ l$label <- "none"
+
+ }
+ if(l$label =="none"){
+ ## tag(1+z1|state)
+ vars<-unlist(strsplit(l$var,"+", fixed=TRUE))
+ }else{
+ ## tag(z1,w1+w2|state)
+ vars<-unlist(strsplit(l$label,"+", fixed=TRUE))
+ }
+ if(length(vars) == 1){
+ ## nothing to expand
+ return (.newTag(l))
+ }else{
+ alltgs<-c()
+ for(i in 1:length(vars)){
+ if(l$label == "none")
+ alltgs <- c(alltgs,.newTag(list(label="none",var=vars[[i]],id=l$id)))
+ else
+ alltgs <- c(alltgs,.newTag(list(label="none",var=paste(l$var,":",vars[[i]],sep=""),id=l$id)))
+
+ }
+ }
+ return (paste(alltgs,collapse="+"))
+
+}
+
+###
+## In the vector 'src' replace the element in the position
+## 'index' with elementSSS in vector 'dest'
+
+.replace<-function(src,index,dest){
+ "%w/o%" <- function(x,y) x[!x %in% y]
+return (c(src %w/o% src[index],dest))
+
+ if(1==2){
+ if(index <1 || index > length(src))
+ stop("wrong index arguemnt in function .replace")
+ if(index==1)
+ beforeEls<-c()
+ else
+ beforeEls<-src[1:(index-1)]
+
+ if(index == length(src))
+ afterEls<-c()
+ else
+ afterEls<-src[(index+1):length(src)]
+
+ return(c(beforeEls,dest,afterEls))
+ }
+
+}
+
+
+##
+# Trim the word's white spaces
+# input : one word string s
+# output: trimed version of s
+
+.trim <-function(v){
+ for(i in 1:length(v)){
+ v[[i]] <- gsub('^[[:space:]]+', '', v[[i]])
+ v[[i]]<- gsub('[[:space:]]+$', '', v[[i]])
+}
+ return(v)
+}
+
diff --git a/R/S4Utilities.R b/R/S4Utilities.R
deleted file mode 100644
index 029aff8..0000000
--- a/R/S4Utilities.R
+++ /dev/null
@@ -1,54 +0,0 @@
-###
-## Creates a Zelig class of type S4 which inherit
-## from the class of "object".
-## If class of the object is "XXX" then the new class
-## will be called "ZeligS4XXX"
-## A new object is created from the new class and
-## all the slots of the object
-## input : an object of class S4
-## output : a new object of class s4 with 2 additional
-## slots
-
-
-create.ZeligS4 <- function(object){
-
- if(isS4(object)) {
- s4ClassName<- class(object)[[1]]
- newClassName <- paste("ZeligS4",s4ClassName,sep="")
- tmp <- paste("setClass(\"",newClassName,"\",representation(\"",s4ClassName,"\",zelig.data=\"data.frame\",zelig=\"character\"),where=.GlobalEnv)",sep="")
-
- ##create the new class
- eval(parse(text=tmp))
-
- ## initialize a new object of that class
- tmp<- paste("new(\"",newClassName,"\")",sep="")
-
- res<-eval(parse(text=tmp))
-
- ## copy over all the slots from teh existing object
- ## to the new object
- for(s in slotNames(object)){
- slot(res,s)<-slot(object,s)
- }
- return (res)
- } else {
- return(object)
- ## error("\"object\" should be of class S4")
- }
-}
-
-
-"$.ZeligS4vglm" <- "$.summary.ZeligS4vglm" <- function(a, b){
- if(is.na(pmatch(b, slotNames(a))))
- stop(paste("no such slot exists in", a))
- else
- slot(a, b)
-}
-
-"$<-.ZeligS4vglm" <- "$<-.summary.ZeligS4vglm" <- function(a, b, value){
- if(is.na(pmatch(b, slotNames(a))))
- stop(paste("no such slot exists in", a))
- else
- slot(a, b)<-value
- return(a)
-}
diff --git a/R/describe.exp.R b/R/describe.exp.R
index 1bf95b8..8ce2f6f 100644
--- a/R/describe.exp.R
+++ b/R/describe.exp.R
@@ -2,8 +2,7 @@ describe.exp<-function(){
category <- "bounded"
description <- "Exponential Regression for Duration Dependent Variables"
package <-list( name ="survival",
- version ="2.0",
- CRAN =NA
+ version ="2.0"
)
parameters<-list(mu="mu")
parameters$mu<-list(equations=c(1,1),
diff --git a/R/describe.irt1d.R b/R/describe.irt1d.R
index 0fe0dfc..3957983 100644
--- a/R/describe.irt1d.R
+++ b/R/describe.irt1d.R
@@ -1,4 +1,4 @@
-describe.factor.irt1d<-function(){
+describe.irt1d<-function(){
category <- "dichotomous"
description <- "One Dimensional Item Response Model"
package <-list( name ="MCMCpack",
diff --git a/R/describe.logit.bayes.R b/R/describe.logit.bayes.R
index a90b3b1..e259a66 100644
--- a/R/describe.logit.bayes.R
+++ b/R/describe.logit.bayes.R
@@ -2,7 +2,7 @@ describe.logit.bayes<-function(){
category <- "dichotomous"
description <- "Bayesian Logistic Regression for Dichotomous Dependent Variables"
package <-list( name ="MCMCpack",
- version ="0.6",
+ version ="0.6"
)
parameters<-list(pi="pi")
parameters$pi<-list(equations=c(1,1),
diff --git a/R/describe.nlme.R b/R/describe.nlme.R
index d3d4edd..815a8d7 100644
--- a/R/describe.nlme.R
+++ b/R/describe.nlme.R
@@ -3,7 +3,7 @@ describe.nlme<-function(){
description <- "Non linear regression model"
package <-list( name ="nlme",
- version ="3.1-75",
+ version ="3.1-75"
)
parameters<-list(mu="mu",rho="rho")
parameters$mu<-list(equations=c(1,1),
diff --git a/R/describe.sur.R b/R/describe.sur.R
index d38f23c..17a2135 100644
--- a/R/describe.sur.R
+++ b/R/describe.sur.R
@@ -3,7 +3,7 @@ describe.sur<-function(){
description <- "Seemingly Unrelated Regression"
package <-list( name ="systemfit",
- version ="0.8",
+ version ="0.8"
)
parameters<-list(mu="mu")
parameters$mu<-list(equations=c(2,Inf),
diff --git a/R/get.R b/R/get.R
index 053f512..f9bf842 100644
--- a/R/get.R
+++ b/R/get.R
@@ -1,7 +1,7 @@
getzelig <- function(x) {
check <- slotNames(x)
- if (length(check) > 0) return(x at zelig)
- else return(x$zelig)
+ if (length(check) > 0) return(x at call$model)
+ else return(x$call$model)
}
getcall <- function(x) {
@@ -19,3 +19,12 @@ getcoef <- function(x) {
else return(x$coef)
}
+getdata <- function(x) {
+ check <- slotNames(x)
+ if (length(check) > 0) {
+ if ("data" %in% check) return(x at data)
+ else if ("model" %in% check) return(x at model)
+ else return(NULL)
+ }
+ else return(x$zelig.data)
+}
diff --git a/R/help.zelig.R b/R/help.zelig.R
index a89f690..fcaab99 100644
--- a/R/help.zelig.R
+++ b/R/help.zelig.R
@@ -9,7 +9,7 @@ help.zelig <- function (...) {
warning(paste("Zelig installed in", length(paths), "locations. Using\n ", paths[1]))
path <- paths[1]
path <- file.path(path, "data")
- if (tools::file_test("-f", file.path(path, "Rdata.zip"))) {
+ if (file_test("-f", file.path(path, "Rdata.zip"))) {
zipped <- TRUE
if (tools::file_test("-f", fp <- file.path(path, "filelist")))
files <- file.path(path, scan(fp, what = "", quiet = TRUE))
diff --git a/R/param.glm.R b/R/param.glm.R
index 473f7e4..4b190cf 100644
--- a/R/param.glm.R
+++ b/R/param.glm.R
@@ -1,18 +1,19 @@
-param.glm <- function(object, num = NULL, bootstrap = FALSE) {
+param.glm <- function(object, num = NULL, bootstrap = FALSE){
+ model <- getzelig(object)
if (!bootstrap) {
coef <- mvrnorm(num, mu=coef(object), Sigma=vcov(object))
- if (object$zelig == "normal") {
+ if (model == "normal") {
df <- object$df.residual
sig2 <- summary(object)$dispersion
alpha <- sqrt(df*sig2/rchisq(num, df=df))
res <- cbind(coef, alpha)
}
- else if (object$zelig == "gamma") {
+ else if (model == "gamma") {
rate <- gamma.shape(object)
alpha <- rnorm(num, mean = rate$alpha, sd = rate$SE)
res <- cbind(coef, alpha)
}
- else if (object$zelig == "negbin") {
+ else if (model == "negbin") {
alpha <- object$theta
res <- cbind(coef, c(alpha))
}
diff --git a/R/param.multiple.R b/R/param.multiple.R
index 29c157e..045f64e 100644
--- a/R/param.multiple.R
+++ b/R/param.multiple.R
@@ -1,7 +1,7 @@
param.multiple <- function(object, num = NULL, bootstrap = FALSE) {
if (!bootstrap) {
coef <- mvrnorm(num, mu=coef(object), Sigma=vcov(object))
- if (object$zelig %in% c("sur","2sls","w2sls","3sls")) {
+ if (getzelig(object) %in% c("sur","2sls","w2sls","3sls")) {
res <- coef
}
else
diff --git a/R/param.survreg.R b/R/param.survreg.R
index 32f4f0e..277b2d4 100644
--- a/R/param.survreg.R
+++ b/R/param.survreg.R
@@ -1,6 +1,6 @@
param.survreg <- function(object, num, bootstrap = FALSE) {
cov <- vcov(object)
- coef <- object$coefficients
+ coef <- getcoef(object)
log.scale <- log(object$scale)
k <- length(coef)
if(!bootstrap) {
diff --git a/R/param.vglm.R b/R/param.vglm.R
index ccbace9..99c987b 100644
--- a/R/param.vglm.R
+++ b/R/param.vglm.R
@@ -1,5 +1,5 @@
param.vglm <- function(object, num, bootstrap = FALSE) {
- cov <- VGAM::vcov(object)
+ cov <- vcov(object)
res <- object at coefficients
if (!bootstrap)
res <- mvrnorm(num, mu=res, Sigma=cov)
diff --git a/R/parse.formula.R b/R/parse.formula.R
index debe9e7..e261911 100644
--- a/R/parse.formula.R
+++ b/R/parse.formula.R
@@ -1,312 +1,312 @@
parse.formula<-function( formula, model,data=NULL){
- if(class(formula)[[1]]=="multiple")
- return(formula)
- nrUserOpt<-nrUserReq<-nrUserFixed<-nrUserSubreq<-0
- userOpt<-userReq<-userFixed<-userSubreq<-list()
-
- fc <- paste("describe.", model, sep = "")
- if (!exists(fc))
- stop("describe.",model," does not exsist")
- modelReq<-do.call(fc,list())
- modelReq <-modelReq$parameters
-
- checkNrReq<-function(modelNumEqn,nrUserReq,modelParsReq){
- if(length(modelNumEqn)==1){
- if(nrUserReq != modelNumEqn)
- stop("The parameter \"",modelParsReq,"\" requires ",modelNumEqn, " equation(s).
+ if(class(formula)[[1]]=="multiple")
+ return(formula)
+ nrUserOpt<-nrUserReq<-nrUserFixed<-nrUserSubreq<-0
+ userOpt<-userReq<-userFixed<-userSubreq<-list()
+
+ fc <- paste("describe.", model, sep = "")
+ if (!exists(fc))
+ stop("describe.",model," does not exsist")
+ modelReq<-do.call(fc,list())
+ modelReq <-modelReq$parameters
+
+ checkNrReq<-function(modelNumEqn,nrUserReq,modelParsReq){
+ if(length(modelNumEqn)==1){
+ if(nrUserReq != modelNumEqn)
+ stop("The parameter \"",modelParsReq,"\" requires ",modelNumEqn, " equation(s).
You have provided ", nrUserReq, " See model doc. for more details")
- }else{
- if(!(betweenf(nrUserReq,modelNumEqn)))
- stop("The parameter \"",modelParsReq,"\" requires between ",modelNumEqn[[1]],"
+ }else{
+ if(!(betweenf(nrUserReq,modelNumEqn)))
+ stop("The parameter \"",modelParsReq,"\" requires between ",modelNumEqn[[1]],"
and ",modelNumEqn[[2]], " equation(s). You have provided ", nrUserReq, " See model doc. for more details")
- }
+ }
+ }
+
+
+ checkNrOpt<-function(modelNumEqn,nrUserOpt,modelParsOpt,userOpt){
+ if(!(betweenf(nrUserOpt,modelNumEqn)))
+ if(nrUserOpt < modelNumEqn[[1]]){
+ if(modelNumEqn[[1]]==1)
+ userOpt[[modelParsOpt]]<- as.formula("~1")
+ else
+ for(i in (nrUserOpt+1):modelNumEqn[[1]]){
+ userOpt[[i]]<-as.formula("~1")
+ names(userOpt)[[i]]<-paste(modelParsOpt,i,sep="")
+ }
+ }else
+ stop("The parameter \"",modelParsOpt,"\" requires between ",modelNumEqn[[1]]," and ",modelNumEqn[[2]], " equation(s). You have provided ", nrUserOpt, " See model doc. for more details")
+
+ return(userOpt)
+ }
+
+ betweenf<-function(a,range){
+ if (is.finite(range[[2]]))
+ return(a >= range[[1]] && a<=range[[2]])
+ else
+ return(a>=range[[1]])
+ }
+
+ "%w/o%" <- function(x,y) x[!x %in% y]
+
+ matchPars<-function(parName,userNames){
+ res<-c()
+ for(i in 1:length(userNames)){
+ a<-substr(userNames[[i]],nchar(parName)+1,nchar(userNames[[i]]))
+ b<-substr(userNames[[i]],1,nchar(parName))
+ if(b==parName && (!is.na(suppressWarnings(as.numeric(a))) || userNames[[i]]==parName))
+ res<-c(res,userNames[[i]])
+ }
+ return (res)
+ }
+
+ fMode<-function(b){
+ if(b$depVar == TRUE && b$expVar == TRUE) return (1)
+ if(b$depVar == FALSE && b$expVar == TRUE) return (2)
+ if(b$depVar == FALSE && b$expVar == FALSE) return (3)
+ if(b$depVar == TRUE && b$expVar == FALSE) return (4)
+ stop("some error occurred ... please contact the Zelig team")
}
-
-
- checkNrOpt<-function(modelNumEqn,nrUserOpt,modelParsOpt,userOpt){
- if(!(betweenf(nrUserOpt,modelNumEqn)))
- if(nrUserOpt < modelNumEqn[[1]]){
- if(modelNumEqn[[1]]==1)
- userOpt[[modelParsOpt]]<- as.formula("~1")
- else
- for(i in (nrUserOpt+1):modelNumEqn[[1]]){
- userOpt[[i]]<-as.formula("~1")
- names(userOpt)[[i]]<-paste(modelParsOpt,i,sep="")
+
+ parsType<-lapply(modelReq,fMode)
+ modelParsReq<-names(parsType[parsType==1])
+ modelParsOpt<-names(parsType[parsType==2])
+ modelParsFixed<-names(parsType[parsType==3])
+ modelParsSubreq<-names(parsType[parsType==4])
+
+ modelNrParsReq<-length(modelParsReq)
+ modelNrParsOpt<-length(modelParsOpt)
+ modelNrParsFixed<-length(modelParsFixed)
+ modelNrParsSubreq<-length(modelParsSubreq)
+
+ userNrLevels<-0
+ dataNrLevels<-0
+ userLevels<-c()
+
+ if(class(formula)[[1]]=="formula")
+ formula<-list(formula)
+
+ nreqns <-length(formula)
+
+ if(is.null(names(formula))){
+ if(modelNrParsReq >1)
+ stop("You should name the equations. The model requires more than 1 systematic component. Please see model documentation for more details")
+ for (i in 1:nreqns){
+ eqni<-formula[[i]]
+ if (length(eqni)==3){
+ rootNames<-modelParsReq
+ lhs<-eqni[[2]]
+ rhs<-deparse(eqni[[3]],width.cutoff=500)
+ if(length(lhs)>1 && (lhs[[1]]=="cbind" || lhs[[1]]=="as.factor" || lhs[[1]]=="id")){
+ if( lhs[[1]]=="cbind"){
+ #rhs=deparse(rhs)
+ g<- as.list(lhs)[-1]
+ for (j in 1:length(g)){
+ e<-paste(g[[j]],"~",sep="")
+ if(rhs!="1"){
+ nrUserReq=nrUserReq+1
+ userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
+ }else{
+ nrUserSubreq=nrUserSubreq+1
+ userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
+ }
+ }
+ }else{
+ if(is.null(data))
+ stop("Data argument is required when you use as.factor() or id() as a dependent variable\n")
+ if(lhs[[1]]=="as.factor"){
+ varname<-as.character(lhs[[2]])
+ userLevels<-levels(as.factor(data[[varname]]))[-1]
+ userNrLevels<-length(userLevels)
+ for (j in 1:userNrLevels){
+ e<-paste("id(",lhs[[2]],",\"",userLevels[[j]],"\")","~",sep="")
+ if(rhs!="1"){
+ nrUserReq=nrUserReq+1
+ userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
+ }else{
+ nrUserSubreq=nrUserSubreq+1
+ userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
+ }
+ }
+ }else{
+ varname<-as.character(lhs[[2]])
+ userLevels<-c(userLevels,lhs[[3]])
+ userNrLevels<-length(userLevels)
+ levels<-levels(data[[varname]])
+ lhs<-deparse(lhs)
+ # rhs<-deparse(rhs)
+ e<-paste(lhs,"~",sep="")
+ if(rhs !="1"){
+ nrUserReq=nrUserReq+1
+ userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
+ }else{
+ nrUserSubreq<-nrUserSubreq+1
+ userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
+ }
+ }
+ }
+ }else{
+ lhs<-deparse(lhs)
+ # rhs<-deparse(rhs)
+ e<-paste(lhs,"~",sep="")
+ if(rhs !="1"){
+ nrUserReq=nrUserReq+1
+ userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
+ }else{
+ nrUserSubreq<-nrUserSubreq+1
+ userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
+ }
+ }
+ }else{
+ rhs<-deparse(eqni[[2]])
+ if(rhs !="1"){
+ nrUserOpt=nrUserOpt+1
+ userOpt[[nrUserOpt]]<-as.formula(paste("~",rhs,sep=""))
+ }else{
+ nrUserFixed=nrUserFixed+1
+ userFixed[[nrUserFixed]]<-as.formula(paste("~",rhs,sep=""))
+ }
}
- }else
- stop("The parameter \"",modelParsOpt,"\" requires between ",modelNumEqn[[1]]," and ",modelNumEqn[[2]], " equation(s). You have provided ", nrUserOpt, " See model doc. for more details")
-
- return(userOpt)
-}
-
- betweenf<-function(a,range){
- if (is.finite(range[[2]]))
- return(a >= range[[1]] && a<=range[[2]])
- else
- return(a>=range[[1]])
- }
-
- "%w/o%" <- function(x,y) x[!x %in% y]
-
- matchPars<-function(parName,userNames){
- res<-c()
- for(i in 1:length(userNames)){
- a<-substr(userNames[[i]],nchar(parName)+1,nchar(userNames[[i]]))
- b<-substr(userNames[[i]],1,nchar(parName))
- if(b==parName && (!is.na(suppressWarnings(as.numeric(a))) || userNames[[i]]==parName))
- res<-c(res,userNames[[i]])
- }
- return (res)
- }
-
- fMode<-function(b){
- if(b$depVar == TRUE && b$expVar == TRUE) return (1)
- if(b$depVar == FALSE && b$expVar == TRUE) return (2)
- if(b$depVar == FALSE && b$expVar == FALSE) return (3)
- if(b$depVar == TRUE && b$expVar == FALSE) return (4)
- stop("some error occurred ... please contact the Zelig team")
- }
-
- parsType<-lapply(modelReq,fMode)
- modelParsReq<-names(parsType[parsType==1])
- modelParsOpt<-names(parsType[parsType==2])
- modelParsFixed<-names(parsType[parsType==3])
- modelParsSubreq<-names(parsType[parsType==4])
-
- modelNrParsReq<-length(modelParsReq)
- modelNrParsOpt<-length(modelParsOpt)
- modelNrParsFixed<-length(modelParsFixed)
- modelNrParsSubreq<-length(modelParsSubreq)
-
- userNrLevels<-0
- dataNrLevels<-0
- userLevels<-c()
-
- if(class(formula)[[1]]=="formula")
- formula<-list(formula)
-
- nreqns <-length(formula)
-
- if(is.null(names(formula))){
- if(modelNrParsReq >1)
- stop("You should name the equations. The model requires more than 1 systematic component. Please see model documentation for more details")
- for (i in 1:nreqns){
- eqni<-formula[[i]]
- if (length(eqni)==3){
- rootNames<-modelParsReq
- lhs<-eqni[[2]]
- rhs<-deparse(eqni[[3]],width.cutoff=500)
- if(length(lhs)>1 && (lhs[[1]]=="cbind" || lhs[[1]]=="as.factor" || lhs[[1]]=="id")){
- if( lhs[[1]]=="cbind"){
- #rhs=deparse(rhs)
- g<- as.list(lhs)[-1]
- for (j in 1:length(g)){
- e<-paste(g[[j]],"~",sep="")
- if(rhs!="1"){
- nrUserReq=nrUserReq+1
- userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
- }else{
- nrUserSubreq=nrUserSubreq+1
- userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
- }
- }
- }else{
- if(is.null(data))
- stop("Data argument is required when you use as.factor() or id() as a dependent variable\n")
- if(lhs[[1]]=="as.factor"){
- varname<-as.character(lhs[[2]])
- userLevels<-levels(as.factor(data[[varname]]))[-1]
- userNrLevels<-length(userLevels)
- for (j in 1:userNrLevels){
- e<-paste("id(",lhs[[2]],",\"",userLevels[[j]],"\")","~",sep="")
- if(rhs!="1"){
- nrUserReq=nrUserReq+1
- userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
+ }
+ if (modelNrParsOpt==0){
+ if (nrUserOpt !=0){
+ stop("the equation(s) ",userOpt," does not match model requirements!")}
+ }else{
+ modelNumEqn<-modelReq[[modelParsOpt]]$equations
+ userOpt<-checkNrOpt(modelNumEqn,nrUserOpt,modelParsOpt,userOpt)
+ if(length(userOpt)==1)
+ names(userOpt)<-modelParsOpt
+ else
+ names(userOpt)<-paste(modelParsOpt,1:length(userOpt),sep="")
+ }
+
+ if(length(modelParsFixed)>0){
+ modelNumFixedEqns<-modelReq[[modelParsFixed]]$equations
+ for(i in 1:modelNumFixedEqns)
+ userFixed[[i]]<-as.formula("~1")
+ if(modelNumFixedEqns==1)
+ names(userFixed)<-modelParsFixed
+ else
+ names(userFixed)<-paste(modelParsFixed,1:modelNumFixedEqns,sep="")
+ }
+ if (modelNrParsReq==0){
+ if (nrUserReq !=0){
+ stop("the equation(s) ",userReq," does not match model requirements!")}
}else{
- nrUserSubreq=nrUserSubreq+1
- userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
+ modelNumEqn<-modelReq[[modelParsReq]]$equations
+ checkNrReq(modelNumEqn,nrUserReq,modelParsReq)
+ if(userNrLevels>0){
+ if(userNrLevels !=nrUserReq)
+ stop("The number of equation for the systematic component should be equal to the number of levels -1\n")
+ names(userReq)<-userLevels
+ }else{
+ if(nrUserReq==1)
+ names(userReq)<-modelParsReq
+ else
+ names(userReq)<-paste(modelParsReq,1:length(userReq),sep="")
+ }
}
- }
- }else{
- varname<-as.character(lhs[[2]])
- userLevels<-c(userLevels,lhs[[3]])
- userNrLevels<-length(userLevels)
- levels<-levels(data[[varname]])
- lhs<-deparse(lhs)
- # rhs<-deparse(rhs)
- e<-paste(lhs,"~",sep="")
- if(rhs !="1"){
- nrUserReq=nrUserReq+1
- userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
- }else{
- nrUserSubreq<-nrUserSubreq+1
- userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
- }
- }
- }
- }else{
- lhs<-deparse(lhs)
- # rhs<-deparse(rhs)
- e<-paste(lhs,"~",sep="")
- if(rhs !="1"){
- nrUserReq=nrUserReq+1
- userReq[[nrUserReq]]<-as.formula(paste(e,rhs,sep=""))
- }else{
- nrUserSubreq<-nrUserSubreq+1
- userSubreq[[nrUserSubreq]]<-as.formula(paste(e,rhs,sep=""))
- }
- }
- }else{
- rhs<-deparse(eqni[[2]])
- if(rhs !="1"){
- nrUserOpt=nrUserOpt+1
- userOpt[[nrUserOpt]]<-as.formula(paste("~",rhs,sep=""))
- }else{
- nrUserFixed=nrUserFixed+1
- userFixed[[nrUserFixed]]<-as.formula(paste("~",rhs,sep=""))
- }
- }
- }
- if (modelNrParsOpt==0){
- if (nrUserOpt !=0){
- stop("the equation(s) ",userOpt," does not match model requirements!")}
- }else{
- modelNumEqn<-modelReq[[modelParsOpt]]$equations
- userOpt<-checkNrOpt(modelNumEqn,nrUserOpt,modelParsOpt,userOpt)
- if(length(userOpt)==1)
- names(userOpt)<-modelParsOpt
- else
- names(userOpt)<-paste(modelParsOpt,1:length(userOpt),sep="")
- }
-
- if(length(modelParsFixed)>0){
- modelNumFixedEqns<-modelReq[[modelParsFixed]]$equations
- for(i in 1:modelNumFixedEqns)
- userFixed[[i]]<-as.formula("~1")
- if(modelNumFixedEqns==1)
- names(userFixed)<-modelParsFixed
- else
- names(userFixed)<-paste(modelParsFixed,1:modelNumFixedEqns,sep="")
- }
- if (modelNrParsReq==0){
- if (nrUserReq !=0){
- stop("the equation(s) ",userReq," does not match model requirements!")}
- }else{
- modelNumEqn<-modelReq[[modelParsReq]]$equations
- checkNrReq(modelNumEqn,nrUserReq,modelParsReq)
- if(userNrLevels>0){
- if(userNrLevels !=nrUserReq)
- stop("The number of equation for the systematic component should be equal to the number of levels -1\n")
- names(userReq)<-userLevels
- }else{
- if(nrUserReq==1)
- names(userReq)<-modelParsReq
- else
- names(userReq)<-paste(modelParsReq,1:length(userReq),sep="")
- }
- }
-
- if (modelNrParsSubreq==0){
- if (nrUserSubreq !=0){
- stop("the equation(s) ",userSubreq," does not match model requirements!")}
+
+ if (modelNrParsSubreq==0){
+ if (nrUserSubreq !=0){
+ stop("the equation(s) ",userSubreq," does not match model requirements!")}
}else{
- modelNumEqn<-modelReq[[modelParsSubreq]]$equations
- checkNrReq(modelNumEqn,nrUserSubreq,modelParsSubreq)
- if(nrUserSubreq==1)
- names(userSubreq)<-modelParsSubreq
- else
- names(userSubreq)<-paste(modelParsSubreq,1:length(userSubreq),sep="")
- }
- result<-c(userReq,userOpt,userFixed,userSubreq)
- }else{ ##user provides names for formulas
- modelPars<-names(modelReq)
- parsS<-names(sort(sapply(modelPars,nchar),decreasing=TRUE))
- userNames<-names(formula)
- userEqnNamesByPars<-list()
- tmpUserNames<-userNames
- for (i in 1:length(parsS)){
- userEqnNamesByPars[[parsS[[i]]]]<-matchPars(parsS[[i]],tmpUserNames)
- tmpUserNames<-"%w/o%"(tmpUserNames,userEqnNamesByPars[[parsS[[i]]]])
- }
- tmp<-"%w/o%"(userNames,unlist(userEqnNamesByPars))
- if (length(tmp)>0)
- stop("Ambigous equation name ","\"",tmp,"\"")
- res<-list()
- userPars<-names(userEqnNamesByPars)
- for (i in 1:length(modelPars)){
- modelPar<-modelPars[[i]]
- userNumEqn<-length(userEqnNamesByPars[[modelPar]])
- modelNumEqn<-modelReq[[modelPar]]$equations
- mode<-fMode(modelReq[[modelPar]])
- tmplst<-formula[userEqnNamesByPars[[modelPar]]]
- if(modelNumEqn[[1]]==1 && modelNumEqn[[2]]==1 )
- tmpNames<-modelPar
- else
- tmpNames<-paste(modelPar,1:userNumEqn,sep="")
- if(mode==1){
- whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=3)
- if(length(whiche)!=0)
- stop("The equation ",formula[[names(whiche)]]," is not conform model requirements or its name is ambigous . DepVar/ExpVar is missing.\n")
- checkNrReq(modelNumEqn,userNumEqn,modelPar)
- whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
- if(length(whiche)!=0){
- warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
- names(tmplst)<-tmpNames
- }
- }else{
- if(mode==2){
- whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=2)
- if(length(whiche)!=0)
- stop("The equation ",formula[names(whiche)]," is not conform model requirements or its name is ambigous A .\n")
- whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
- if(length(whiche)!=0){
- warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
- names(tmplst)<-tmpNames
- }
- tmplst<- checkNrOpt(modelNumEqn,userNumEqn,modelPar,tmplst)
- }else{
- if (mode==3){
- whiche<-which(tmplst !="~1")
- if(length(whiche)>0)
- warning("You cannot specify a formula for the parameter \"",modelPar,"\" . All your equation for this parameter are set to their default value.For example your equation:\n",deparse(formula[names(whiche)]),"\n")
- if(userNumEqn !=modelNumEqn)
- warning("The parameter \"",modelPar,"\" requires ",modelNumEqn, "equation(s). You are providing ",userNumEqn, " equation(s) for this parameter. This problem is fixed. All the equations for this parameter are set to the default value \n")
-
- tmplst<-list()
- if(modelNumEqn==1)
- tmpname<-modelPar
+ modelNumEqn<-modelReq[[modelParsSubreq]]$equations
+ checkNrReq(modelNumEqn,nrUserSubreq,modelParsSubreq)
+ if(nrUserSubreq==1)
+ names(userSubreq)<-modelParsSubreq
else
- tmpname<-paste(modelPar,1:modelNumEqn,sep="")
- for(i in 1:modelNumEqn)
- tmplst[[tmpname[[i]]]]<-as.formula("~1")
- }else{
- if(mode==4)
- {
- whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=3)
- whicha<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],FUN=function(a){if (a[[3]]=="1") return (TRUE) else return(FALSE)})==FALSE)
- if(length(whiche)!=0 )
- stop("The equation ",formula[names(whiche)]," is not conform model requirements or its name is ambigous . DepVar/ExpVar is missing.\n")
- else{
- if (length(whicha)!=0)
- stop("The equation ",formula[names(whicha)]," is not conform model requirements or its name is ambigous . Its right hand side shoule be \"1\".\n")
+ names(userSubreq)<-paste(modelParsSubreq,1:length(userSubreq),sep="")
+ }
+ result<-c(userReq,userOpt,userFixed,userSubreq)
+ }else{ ##user provides names for formulas
+ modelPars<-names(modelReq)
+ parsS<-names(sort(sapply(modelPars,nchar),decreasing=TRUE))
+ userNames<-names(formula)
+ userEqnNamesByPars<-list()
+ tmpUserNames<-userNames
+ for (i in 1:length(parsS)){
+ userEqnNamesByPars[[parsS[[i]]]]<-matchPars(parsS[[i]],tmpUserNames)
+ tmpUserNames<-"%w/o%"(tmpUserNames,userEqnNamesByPars[[parsS[[i]]]])
}
- checkNrReq(modelNumEqn, userNumEqn, modelPar)
- whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
- if(length(whiche)!=0){
- warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
- names(tmplst)<-tmpNames
+ tmp<-"%w/o%"(userNames,unlist(userEqnNamesByPars))
+ if (length(tmp)>0)
+ stop("Ambigous equation name ","\"",tmp,"\"")
+ res<-list()
+ userPars<-names(userEqnNamesByPars)
+ for (i in 1:length(modelPars)){
+ modelPar<-modelPars[[i]]
+ userNumEqn<-length(userEqnNamesByPars[[modelPar]])
+ modelNumEqn<-modelReq[[modelPar]]$equations
+ mode<-fMode(modelReq[[modelPar]])
+ tmplst<-formula[userEqnNamesByPars[[modelPar]]]
+ if(modelNumEqn[[1]]==1 && modelNumEqn[[2]]==1 )
+ tmpNames<-modelPar
+ else
+ tmpNames<-paste(modelPar,1:userNumEqn,sep="")
+ if(mode==1){
+ whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=3)
+ if(length(whiche)!=0)
+ stop("The equation ",formula[[names(whiche)]]," is not conform model requirements or its name is ambigous . DepVar/ExpVar is missing.\n")
+ checkNrReq(modelNumEqn,userNumEqn,modelPar)
+ whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
+ if(length(whiche)!=0){
+ warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
+ names(tmplst)<-tmpNames
+ }
+ }else{
+ if(mode==2){
+ whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=2)
+ if(length(whiche)!=0)
+ stop("The equation ",formula[names(whiche)]," is not conform model requirements or its name is ambigous A .\n")
+ whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
+ if(length(whiche)!=0){
+ warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
+ names(tmplst)<-tmpNames
+ }
+ tmplst<- checkNrOpt(modelNumEqn,userNumEqn,modelPar,tmplst)
+ }else{
+ if (mode==3){
+ whiche<-which(tmplst !="~1")
+ if(length(whiche)>0)
+ warning("You cannot specify a formula for the parameter \"",modelPar,"\" . All your equation for this parameter are set to their default value.For example your equation:\n",deparse(formula[names(whiche)]),"\n")
+ if(userNumEqn !=modelNumEqn)
+ warning("The parameter \"",modelPar,"\" requires ",modelNumEqn, "equation(s). You are providing ",userNumEqn, " equation(s) for this parameter. This problem is fixed. All the equations for this parameter are set to the default value \n")
+
+ tmplst<-list()
+ if(modelNumEqn==1)
+ tmpname<-modelPar
+ else
+ tmpname<-paste(modelPar,1:modelNumEqn,sep="")
+ for(i in 1:modelNumEqn)
+ tmplst[[tmpname[[i]]]]<-as.formula("~1")
+ }else{
+ if(mode==4)
+ {
+ whiche<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],length)!=3)
+ whicha<-which(lapply(formula[(userEqnNamesByPars[[modelPar]])],FUN=function(a){if (a[[3]]=="1") return (TRUE) else return(FALSE)})==FALSE)
+ if(length(whiche)!=0 )
+ stop("The equation ",formula[names(whiche)]," is not conform model requirements or its name is ambigous . DepVar/ExpVar is missing.\n")
+ else{
+ if (length(whicha)!=0)
+ stop("The equation ",formula[names(whicha)]," is not conform model requirements or its name is ambigous . Its right hand side shoule be \"1\".\n")
+ }
+ checkNrReq(modelNumEqn, userNumEqn, modelPar)
+ whiche<-which((names(tmplst) %in% tmpNames)==FALSE)
+ if(length(whiche)!=0){
+ warning("The name \"",names(tmplst)[whiche],"\" is ambigous. The equations of the paramter \"",modelPar,"\" are renamed\n")
+ names(tmplst)<-tmpNames
+ }
+ }
+ }
+ }
+ }
+ res[[modelPar]]<-tmplst
}
- }
- }
+ result<-c()
+ for(i in 1:length(res))
+ result<-c(result,res[[i]])
+
}
- }
- res[[modelPar]]<-tmplst
- }
- result<-c()
- for(i in 1:length(res))
- result<-c(result,res[[i]])
-
- }
- class(result)<-c("multiple","list")
- return(result)
+ class(result)<-c("multiple","list")
+ return(result)
}
diff --git a/R/qi.MCMCZelig.R b/R/qi.MCMCZelig.R
index 81624d7..8593694 100644
--- a/R/qi.MCMCZelig.R
+++ b/R/qi.MCMCZelig.R
@@ -1,5 +1,5 @@
qi.MCMCZelig <- function(object, simpar=NULL, x, x1 = NULL, y = NULL, ...) {
- model <- object$zelig
+ model <- getzelig(object)
qi <- list()
check <- FALSE
if (model %in% c("logit.bayes", "probit.bayes", "oprobit.bayes", "mlogit.bayes"))
diff --git a/R/qi.glm.R b/R/qi.glm.R
index 2b23dd6..9555a55 100644
--- a/R/qi.glm.R
+++ b/R/qi.glm.R
@@ -1,7 +1,7 @@
qi.glm <- function(object, simpar, x, x1 = NULL, y = NULL) {
check <- FALSE
- model <- object$zelig
- k <- length(object$coef)
+ model <- getzelig(object)
+ k <- length(getcoef(object))
coef <- simpar[,1:k]
if (k < ncol(simpar))
alpha <- simpar[,(k+1):ncol(simpar)]
diff --git a/R/qi.lm.R b/R/qi.lm.R
index 2e23f43..7643786 100644
--- a/R/qi.lm.R
+++ b/R/qi.lm.R
@@ -1,5 +1,5 @@
qi.lm <- function(object, simpar, x, x1 = NULL, y = NULL) {
- k <- length(object$coef)
+ k <- length(getcoef(object))
coef <- simpar[,1:k]
alpha <- simpar[,(k+1):ncol(simpar)]
ev <- coef %*% t(x)
diff --git a/R/qi.multiple.R b/R/qi.multiple.R
index 3f2ee56..0c2a3c2 100644
--- a/R/qi.multiple.R
+++ b/R/qi.multiple.R
@@ -1,7 +1,7 @@
qi.multiple <- function(object, simpar, x, x1 = NULL, y = NULL) {
check <- FALSE
- model <- object$zelig
+ model <- getzelig(object)
coef<-list()
tt<-terms(object)
nreq<-length(tt)
diff --git a/R/qi.netlm.R b/R/qi.netlm.R
index 3d91d59..51219a7 100644
--- a/R/qi.netlm.R
+++ b/R/qi.netlm.R
@@ -1,5 +1,5 @@
qi.netlm <- function(object, simpar, x, x1 = NULL, y = NULL) {
- k <- length(object$coef)
+ k <- length(getcoef(object))
coef <- simpar[,1:k]
#alpha <- simpar[,(k+1):ncol(simpar)]
ev <- coef %*% t(x)
diff --git a/R/qi.netlogit.R b/R/qi.netlogit.R
index 42e90c6..2b1ad95 100644
--- a/R/qi.netlogit.R
+++ b/R/qi.netlogit.R
@@ -1,7 +1,7 @@
qi.netlogit <- function(object, simpar, x, x1 = NULL, y = NULL) {
check <- FALSE
- model <- object$zelig
- k <- length(object$coef)
+ model <- getzelig(object)
+ k <- length(getcoef(object))
coef <- simpar[,1:k]
if (k < ncol(simpar))
alpha <- simpar[,(k+1):ncol(simpar)]
diff --git a/R/qi.polr.R b/R/qi.polr.R
index 1c7df0d..64cc1a8 100644
--- a/R/qi.polr.R
+++ b/R/qi.polr.R
@@ -1,6 +1,6 @@
qi.polr <- function(object, simpar, x, x1 = NULL, y = NULL) {
num <- nrow(simpar)
- m <- length(coef(object))
+ m <- length(getcoef(object))
sim.coef <- simpar[,1:m]
sim.zeta <- sim.theta <- simpar[,(m+1):ncol(simpar)]
sim.zeta[,-1] <- exp(sim.theta[,-1])
diff --git a/R/qi.survreg.R b/R/qi.survreg.R
index 898c29e..3e4628c 100644
--- a/R/qi.survreg.R
+++ b/R/qi.survreg.R
@@ -1,6 +1,6 @@
qi.survreg <- function(object, simpar, x, x1 = NULL, y = NULL) {
- model <- object$zelig
- k <- length(object$coef)
+ model <- getzelig(object)
+ k <- length(getcoef(object))
sim.coef <- as.matrix(simpar[,1:k])
if (model %in% c("weibull", "Weibull")) {
if (ncol(simpar) == (k + 1))
diff --git a/R/qi.vglm.R b/R/qi.vglm.R
index d2eace4..6aee6ac 100644
--- a/R/qi.vglm.R
+++ b/R/qi.vglm.R
@@ -1,5 +1,5 @@
-qi.ZeligS4vglm <- function (object, simpar, x, x1=NULL, y = NULL) {
- model <- object$zelig
+qi.vglm <- function (object, simpar, x, x1=NULL, y = NULL) {
+ model <- getzelig(object)
cm <- object at constraints
if (model=="mlogit")
ndim <- (ncol(object at y)-1)
@@ -48,7 +48,7 @@ qi.ZeligS4vglm <- function (object, simpar, x, x1=NULL, y = NULL) {
ev
}
pr.vglm <- function(object, ev, ynames) { # To assign predicted values.
- model <- object$zelig
+ model <- getzelig(object)
if (model == "mlogit") {
k <- ncol(ev)
Ipr <- sim.cut <- matrix(NA, nrow = nrow(ev), ncol = ncol(ev))
diff --git a/R/setx.Arima.R b/R/setx.Arima.R
index 101d018..d4363cf 100644
--- a/R/setx.Arima.R
+++ b/R/setx.Arima.R
@@ -6,7 +6,7 @@ setx.Arima <- function(object, cond=FALSE, data=NULL, counter=NULL,
mc <- match.call()
env <- attr(object$terms, ".Environment")
if (is.null(data)){
- data <- eval(object$call$data, envir=env)
+ data <- eval(getcall(object)$data, envir=env)
}
if(!is.null(data)){
data <- as.data.frame(data)
diff --git a/R/setx.MI.R b/R/setx.MI.R
index 0dfe41f..0fccf3f 100644
--- a/R/setx.MI.R
+++ b/R/setx.MI.R
@@ -7,7 +7,7 @@ setx.MI <- function(object, fn = list(numeric = mean, ordered =
obj <- object[[1]]
for (i in 1:M) {
if(is.null(data))
- tmp <- as.data.frame(eval(object[[1]]$call$data,
+ tmp <- as.data.frame(eval(getcall(obj)$data,
sys.parent())[[i]])
else
tmp <- data[[i]]
@@ -22,7 +22,7 @@ setx.MI <- function(object, fn = list(numeric = mean, ordered =
else { # conditional prediction
X <- list()
if (is.null(data))
- data <- eval(object[[1]]$call$data, sys.parent())
+ data <- eval(getcall(obj)$data, sys.parent())
for (i in 1:M)
X[[i]] <- setx(object[[i]], fn = NULL, data = data[[i]], cond = TRUE,
counter = counter, ...)
diff --git a/R/setx.default.R b/R/setx.default.R
index 7ffe15f..2a33e30 100644
--- a/R/setx.default.R
+++ b/R/setx.default.R
@@ -63,11 +63,12 @@ setx.default <- function(object, fn = list(numeric = mean, ordered =
if (is.null(env))
env <- parent.frame()
## original data
- if (is.null(data))
- if (nrow(as.data.frame(object$zelig.data)) > 0)
- dta <- object$zelig.data
+ if (is.null(data)) {
+ if (nrow(as.data.frame(getdata(object))) > 0)
+ dta <- getdata(object)
else
- dta <- eval(object$call$data, envir = env)
+ dta <- eval(getcall(object)$data, envir = env)
+ }
else
dta <- as.data.frame(data)
## extract variables we need
diff --git a/R/setx.eiRxC.R b/R/setx.eiRxC.R
index ab59f9d..028d341 100644
--- a/R/setx.eiRxC.R
+++ b/R/setx.eiRxC.R
@@ -3,13 +3,11 @@ setx.eiRxC <- function(object, fn = list(numeric = mean, ordered =
cond = FALSE, counter = NULL, ...)
{
if (!is.null(object$covar)){
- object1<-object
+ object1 <- object
#object1$call$data<-as.data.frame(object$covar);
- origCall<-object$call
+ origCall <- getcall(object)
covFormula<-eval(origCall[["covar"]])
object1$terms <- terms.formula(covFormula)
-
-
res<- setx.default(object=object1, fn=fn, data=data, cond=cond, counter=counter,...)
return (res[,2:ncol(res)])
} else
diff --git a/R/setx.netlm.R b/R/setx.netlm.R
deleted file mode 100644
index b37a4dc..0000000
--- a/R/setx.netlm.R
+++ /dev/null
@@ -1 +0,0 @@
-setx.netlm <- setx.default
\ No newline at end of file
diff --git a/R/setx.netlogit.R b/R/setx.netlogit.R
deleted file mode 100644
index 8ad67ba..0000000
--- a/R/setx.netlogit.R
+++ /dev/null
@@ -1 +0,0 @@
-setx.netlogit <- setx.default
diff --git a/R/setx.noX.R b/R/setx.noX.R
index a8e3394..3c89145 100644
--- a/R/setx.noX.R
+++ b/R/setx.noX.R
@@ -1,21 +1,21 @@
setx.noX <- function(object, data = NULL, fn = NULL, cond = TRUE, ...) {
if (!is.null(fn) || !cond)
- stop(paste("\n", object$call$model, "is only appropriate in a CONDITIONAL prediction research design!"))
+ stop(paste("\n", getzelig(object), "is only appropriate in a CONDITIONAL prediction research design!"))
if (any(class(object) == "latent"))
- x <- eval(object$call$formula[[2]])
+ x <- eval(getcall(object)$formula[[2]])
else if (any(class(object) == "EI")) {
if (is.null(data))
- data <- eval(object$call$data, sys.parent())
+ data <- eval(getcall(object)$data, sys.parent())
x <- model.frame(object, data = data, ...)
x1 <- x[[1]]
for (i in 2:length(x))
x1 <- cbind(x[[1]], x[[i]])
x1 <- data.frame(x1)
- if (is.null(object$call$covar))
+ if (is.null(getcall(object)$covar))
names(x1) <- c(colnames(x[[1]]), colnames(x[[2]]))
else
names(x1) <- c(colnames(x[[1]]), colnames(x[[2]]),
- deparse(object$call$covar[[3]]))
+ deparse(getcall(object)$covar[[3]]))
rownames(x1) <- rownames(x)
x <- x1
}
diff --git a/R/setx.strata.R b/R/setx.strata.R
index bdd8749..80ebc8d 100644
--- a/R/setx.strata.R
+++ b/R/setx.strata.R
@@ -5,10 +5,10 @@ setx.strata <- function(object, fn = list(numeric = mean, ordered =
x <- list()
if (any(class(obj)=="MI")) { # with multiple imputation
if (is.null(data))
- dta <- eval(obj[[1]]$call$data, sys.parent())
+ dta <- eval(getcall(obj[[1]])$data, sys.parent())
else
dta <- data
- by <- obj[[1]]$call$by
+ by <- getcall(obj[[1]])$by
M <- length(dta)
d <- dta[[1]]
idx <- pmatch(by, names(d))[1]
@@ -25,10 +25,10 @@ setx.strata <- function(object, fn = list(numeric = mean, ordered =
}
else { # without multiple imputation
if (is.null(data))
- dta <- eval(obj$call$data, sys.parent())
+ dta <- eval(getcall(obj)$data, sys.parent())
else
dta <- data
- by <- obj$call$by
+ by <- getcall(obj)$by
idx <- pmatch(by, names(dta))[1]
lev <- sort(unique(eval(dta[[idx]], sys.parent())))
for (i in 1:length(lev)) {
diff --git a/R/sim.cond.R b/R/sim.cond.R
index a46dc25..5aabefb 100644
--- a/R/sim.cond.R
+++ b/R/sim.cond.R
@@ -43,7 +43,7 @@ sim.cond <- function(object, x, x1=NULL, num=c(1000, 100),
class(xvar) <- c("matrix", "cond")
ca <- match.call()
ca$num <- num
- res <- list(x=xvar, x1=x1, call = ca, zelig.call = object$call,
+ res <- list(x=xvar, x1=x1, call = ca, zelig.call = getcall(object),
par = simpar, qi=simqi$qi, qi.name=simqi$qi.name)
class(res) <- "zelig"
res
diff --git a/R/sim.default.R b/R/sim.default.R
index 7242d99..71ff81e 100644
--- a/R/sim.default.R
+++ b/R/sim.default.R
@@ -20,7 +20,7 @@ sim.default <- function(object, x=NULL, x1=NULL, num=c(1000, 100),
simpar <- param(object, num=num, bootstrap=bootstrap)
else {
tt <- terms(object)
- dta <- eval(object$data, sys.parent())
+ dta <- eval(getcall(object)$data, sys.parent())
dta <- dta[complete.cases(model.frame(tt, dta)),]
if (is.null(bootfn))
bootfn <- bootfn.default
@@ -39,7 +39,7 @@ sim.default <- function(object, x=NULL, x1=NULL, num=c(1000, 100),
c <- match.call()
c[[1]] <- as.name("sim")
c$num <- num
- res <- list(x=x, x1=x1, call = c, zelig.call = object$call,
+ res <- list(x=x, x1=x1, call = c, zelig.call = getcall(object),
par = simpar, qi=simqi$qi, qi.name=simqi$qi.name)
class(res) <- "zelig"
res
diff --git a/R/sim.setx.MI.R b/R/sim.setx.MI.R
index ae3ccbe..bf3d4d1 100644
--- a/R/sim.setx.MI.R
+++ b/R/sim.setx.MI.R
@@ -14,7 +14,7 @@ sim.setx.MI <- function(object, x, x1 = NULL, num = c(1000, 100), prev = NULL,
simqi <- qi(object[[1]], simpar = simpar, x = as.matrix(x),
x1 = if (!is.null(x1)) as.matrix(x1))
ca$num <- num
- res <- list(x = x, x1 = x1, call = ca, zelig.call = object[[1]]$call,
+ res <- list(x = x, x1 = x1, call = ca, zelig.call = getcall(object[[1]]),
par = simpar, qi = simqi$qi, qi.name = simqi$qi.name)
}
else {
@@ -55,7 +55,7 @@ sim.setx.MI <- function(object, x, x1 = NULL, num = c(1000, 100), prev = NULL,
print(object[[1]]$call)
ca$num <- num
res <- list(x = x, x1 = x1, call = ca,
- zelig.call = object[[1]]$call,
+ zelig.call = getcall(object[[1]]),
par = simpar, qi = simqi$qi, qi.name =
simqi$qi.name)
}
diff --git a/R/sim.setx.strata.R b/R/sim.setx.strata.R
index 6a76a33..c48528e 100644
--- a/R/sim.setx.strata.R
+++ b/R/sim.setx.strata.R
@@ -1,7 +1,7 @@
sim.setx.strata <- function(object, x, x1 = NULL, num = c(1000, 100),
bootstrap = FALSE, ...){
if (any(class(object) == "MCMCZelig"))
- num <- nrow(object$coefficients)
+ num <- nrow(getcoef(object))
if (length(num) == 2) {
if (!bootstrap)
num <- num[1]
@@ -9,12 +9,12 @@ sim.setx.strata <- function(object, x, x1 = NULL, num = c(1000, 100),
num <- num[2]
}
if(any(class(object[[1]])=="MI")) {
- dta <- eval((object[[1]])[[1]]$call$data, sys.parent())[[1]]
- by <- (object[[1]])[[1]]$call$by
+ dta <- eval(getcall((object[[1]])[[1]])$data, sys.parent())[[1]]
+ by <- getcall((object[[1]])[[1]])$by
}
else {
- dta <- eval(object[[1]]$call$data, sys.parent())
- by <- object[[1]]$call$by
+ dta <- eval(getcall(object[[1]])$data, sys.parent())
+ by <- getcall(object[[1]])$by
}
N <- length(object)
res <- list()
diff --git a/R/sim.setxArima.R b/R/sim.setxArima.R
index 2c8f2af..4fa1162 100644
--- a/R/sim.setxArima.R
+++ b/R/sim.setxArima.R
@@ -1,217 +1,217 @@
-sim.setxArima <- function(object, x, x1 = NULL, num = 1000, prev = NULL,
- bootstrap = FALSE, bootfn = NULL, cond.data = NULL,
- max.iter=10, ...) {
- require(mvtnorm)
-# library.dynam("stats")
- if (bootstrap | !is.null(bootfn) | !is.null(cond.data)){
- warning("boostrap, bootfn, and cond.data are ignored in ARIMA models")
- }
- t.effect <- x$t.effect
- ##extracting out the series
- if (is.data.frame(object$zelig.data))
- dat <- object$zelig.data
- else{
- envir<- attr(object$terms, ".Environment")
- dat <- eval(object$call$data, envir)
- }
- series <- eval(eval(object$call$formula[[2]])$name, envir=dat)
- pred.ahead <- x$pred.ahead
- if (!is.null(prev)){
- draw.parm <- prev
- }
- if (is.null(prev)){
- draw.parm <- rmvnorm(num, mean=object$coef, sigma=object$var.coef)
-###inserting a function that will be used to ensure that the
-###ma portion is invertible. This code is taken from
-##the implementation of ARIMA in the stats package
- maInvert <- function(ma) {
- q <- length(ma)
- q0 <- max(which(c(1, ma) != 0)) - 1
- if (!q0)
- return(ma)
- roots <- polyroot(c(1, ma[1:q0]))
- ind <- Mod(roots) < 1
- if (all(!ind))
- return(ma)
- if (q0 == 1)
- return(c(1/ma[1], rep(0, q - q0)))
- roots[ind] <- 1/roots[ind]
- x <- 1
- for (r in roots) x <- c(x, 0) - c(0, x)/r
- c(Re(x[-1]), rep(0, q - q0))
- }
-##
-temp<- which(object$arma[1:4]>0)
-temp<- sort(temp)
-for(j in 1:nrow(draw.parm)){
-if(length(temp)==1){
- if(temp==2 | temp==4){
- draw.parm[j, 1:object$arma[temp]]<- maInvert(draw.parm[i, 1:object$arma[temp]])
- }
- if(temp==1){
- draw.parm[j, 1:object$arma[temp]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp]]
- }
- if(temp==3){
- draw.parm[j, 1:object$arma[temp]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
- }
- }
-if(length(temp)==2){
- if(temp[1]==2 | temp[1]==4){
- draw.parm[i, 1:object$arma[temp[1]]]<- maInvert(draw.parm[j, 1:object$arma[temp[1]]])
- }
- if(temp[1]==1){
- draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])], as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp[1]]]
- }
- if(temp[1]==3){
- draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
- }
- if(temp[2]==2 | temp[2]==4){
- draw.parm[j, (object$arma[temp[1]] + 1):(sum(object$arma[temp[1]:temp[2]]))]<- maInvert(draw.parm[j, (object$arma[temp[1]] + 1):(sum(object$arma[temp[1]:temp[2]]))])
- }
- if(temp[2]==1){
- draw.parm[j, (sum(object$arma[temp[1]]) + 1):(sum(object$arma[temp[1]:temp[2]]))]<- .Call("ARIMA_transPars",draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(sum(object$arma[1]) + 1):(sum(object$arma[1:2]))]
-}
- if(temp[2]==3){
- draw.parm[j, (sum(object$arma[temp[1]]) + 1):object$arma[temp[2]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
-
- }
-}
-if(length(temp)>2){
-if(temp[1]==2 | temp[1]==4){
- draw.parm[i, 1:object$arma[temp[1]]]<- maInvert(draw.parm[j, 1:object$arma[temp[1]]])
- }
- if(temp[1]==1){
- draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp[1]]]
- }
- if(temp[1]==3){
- draw.parm[j, 1:object$arma[temp[3]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
- }
-for(i in 2:length(temp)){
-if(temp[i]==2 | temp[i]==4){
- draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- maInvert(draw.parm[j,
- (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))])
- }
- if(temp[i]==1){
- draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- .Call("ARIMA_transPars",draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]
-}
- if(temp[i]==3){
- draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
- as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
- }
-
- }
-}
-}
-}
- if (x$min.time==1 | x$min.time==2)
- stop("Counterfactuals can only be specified from the third observation and later \n")
- if (ncol(x$dta)==0){
- ev <- matrix(NA, nrow=nrow(draw.parm), ncol=(pred.ahead))
- se <- matrix(NA, nrow=nrow(draw.parm), ncol=(pred.ahead))
- for (i in 1:nrow(draw.parm)){
- temp <- arima(series, xreg=NULL,
- order=c(object$arma[1], object$arma[6], object$arma[2]),
- seasonal=list(order=c(object$arma[3], object$arma[7], object$arma[4]),
- period=object$arma[5]), fixed=draw.parm[i,], transform.pars=TRUE)
- temp2 <-predict(temp, newxreg=NULL, n.ahead=(pred.ahead))
- ev[i,] <- temp2$pred[1:(pred.ahead)]
- se[i,] <- temp2$se[1:(pred.ahead)]
- }
- ev <- as.matrix(ev)
- se <- as.matrix(se)
- if (!is.null(x1)){
- warning("First differences are only calculated when external regressors are used \n")
- }
- }
- if (ncol(x$dta) > 0){
- x.obs <- as.matrix(x$dta[1:(x$min.time-1),])
- x.cf <- as.matrix(x$dta[x$min.time: (x$max.time), ])
- ev <- matrix(NA, nrow=nrow(draw.parm), ncol=(length(x$min.time:x$max.time)))
- se <- matrix(NA, nrow=nrow(draw.parm), ncol=(length(x$min.time:x$max.time)))
- if (x$min.time == nrow(x$dta)){
- x.cf<- t(x.cf)
- }
- for (i in 1:nrow(draw.parm)){
- temp <- arima(series[1:(x$min.time-1)], xreg=x.obs,
- order=c(object$arma[1], object$arma[6], object$arma[2]),
- seasonal=list(order=c(object$arma[3], object$arma[7], object$arma[4]),
- period=object$arma[5]), fixed=draw.parm[i,])
- temp2 <-predict(temp, newxreg=x.cf, n.ahead=nrow(x.cf))
- ev[i,] <- temp2$pred
- se[i,] <- temp2$se
- }
- ev <- as.matrix(ev)
- }
- if (!is.null(x1)){
- if (ncol(x1$dta) > 0){
- x1.obs <- as.matrix(x1$dta[1:(x1$min.time-1), ])
- x1.cf <- as.matrix(x1$dta[x1$min.time:(x1$max.time),])
- ev.1 <- matrix(NA, nrow=nrow(draw.parm), ncol=length(x$min.time:x$max.time))
- se.1 <- matrix(NA, nrow=nrow(draw.parm), ncol=length(x$min.time:x$max.time))
- pred.ahead <- x$pred.ahead
- pred.arima.x1 <- list()
- false.arima.x1 <- list()
- if (x1$min.time == nrow(x1$dta)){
- x1.cf <- t(x1.cf)
- }
- for (i in 1:nrow(draw.parm)){
- temp3<- arima(series[1:(x1$min.time-1)], xreg=x1.obs,
- order=c(object$arma[1], object$arma[6], object$arma[2]),
- seasonal=list(order=c(object$arma[3], object$arma[7],
- object$arma[4]), period=object$arma[5]),
- fixed=draw.parm[i,])
- temp4 <- predict(temp3, newxreg=x1.cf, n.ahead=nrow(x.cf))
- ev.1[i,] <- temp4$pred
- se.1[i,] <- temp4$se
- }
- ev.1 <- as.matrix(ev.1)
- }
- }
- if (!is.null(x1) & t.effect){
- warning("First differences and treatment effects are not both calculated.Calculating first differences only.\n")
- }
- if (is.null(x1) & (t.effect)){
- t.eff <- matrix(NA, nrow=nrow(ev), ncol=ncol(ev))
- for (i in 1:nrow(ev)){
- t.eff[i,] <- series[(x$min.time):x$max.time] - ev[i,]
- }
- }
- if (!is.null(x1) | !(t.effect)){
- t.eff <- NULL
- }
- if (!is.null(x1)){
- se <- as.matrix(se)
- se.1 <- as.matrix(se.1)
- fd <- ev.1 - ev
- qi <- list(ev=ev, se=se, fd=fd, t.eff=t.eff)
- qi.name <- list(ev="Expected Values, E(Y|X)", se="Prediction Standard Error",
- fd="First Difference, E(Y|X1) - E(Y|X)", t.eff="Treatment Effect")
- res <- list(min.time=x$min.time, qi=qi, qi.name=qi.name,
- zelig.call = object$call,
- t.series = eval(eval(object$call$formula[[2]],
- envir=dat)$name, envir=dat))
- class(res) <- c("zelig.arima", "zelig")
- return(res)
- }
- if (is.null(x1)){
- se <- as.matrix(se)
- qi <- list(ev=ev, se=se, t.eff=t.eff)
- qi.name <- list(ev="Expected Values, E(Y|X)", se="Prediction Standard Error",
- t.eff="Treatment Effect")
- res <- list(min.time=x$min.time, qi=qi, qi.name=qi.name,
- t.series=eval(eval(object$call$formula[[2]],
- envir=dat)$name, envir=dat),
- zelig.call = object$call)
- class(res) <- c("zelig.arima", "zelig")
- return(res)
- }
-}
-
+sim.setxArima <- function(object, x, x1 = NULL, num = 1000, prev = NULL,
+ bootstrap = FALSE, bootfn = NULL, cond.data = NULL,
+ max.iter=10, ...) {
+ require(mvtnorm)
+# library.dynam("stats")
+ if (bootstrap | !is.null(bootfn) | !is.null(cond.data)){
+ warning("boostrap, bootfn, and cond.data are ignored in ARIMA models")
+ }
+ t.effect <- x$t.effect
+ ##extracting out the series
+ if (is.data.frame(object$zelig.data))
+ dat <- object$zelig.data
+ else{
+ envir<- attr(object$terms, ".Environment")
+ dat <- eval(object$call$data, envir)
+ }
+ series <- eval(eval(object$call$formula[[2]])$name, envir=dat)
+ pred.ahead <- x$pred.ahead
+ if (!is.null(prev)){
+ draw.parm <- prev
+ }
+ if (is.null(prev)){
+ draw.parm <- rmvnorm(num, mean=object$coef, sigma=object$var.coef)
+###inserting a function that will be used to ensure that the
+###ma portion is invertible. This code is taken from
+##the implementation of ARIMA in the stats package
+ maInvert <- function(ma) {
+ q <- length(ma)
+ q0 <- max(which(c(1, ma) != 0)) - 1
+ if (!q0)
+ return(ma)
+ roots <- polyroot(c(1, ma[1:q0]))
+ ind <- Mod(roots) < 1
+ if (all(!ind))
+ return(ma)
+ if (q0 == 1)
+ return(c(1/ma[1], rep(0, q - q0)))
+ roots[ind] <- 1/roots[ind]
+ x <- 1
+ for (r in roots) x <- c(x, 0) - c(0, x)/r
+ c(Re(x[-1]), rep(0, q - q0))
+ }
+##
+temp<- which(object$arma[1:4]>0)
+temp<- sort(temp)
+for(j in 1:nrow(draw.parm)){
+if(length(temp)==1){
+ if(temp==2 | temp==4){
+ draw.parm[j, 1:object$arma[temp]]<- maInvert(draw.parm[i, 1:object$arma[temp]])
+ }
+ if(temp==1){
+ draw.parm[j, 1:object$arma[temp]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp]]
+ }
+ if(temp==3){
+ draw.parm[j, 1:object$arma[temp]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
+ }
+ }
+if(length(temp)==2){
+ if(temp[1]==2 | temp[1]==4){
+ draw.parm[i, 1:object$arma[temp[1]]]<- maInvert(draw.parm[j, 1:object$arma[temp[1]]])
+ }
+ if(temp[1]==1){
+ draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])], as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp[1]]]
+ }
+ if(temp[1]==3){
+ draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
+ }
+ if(temp[2]==2 | temp[2]==4){
+ draw.parm[j, (object$arma[temp[1]] + 1):(sum(object$arma[temp[1]:temp[2]]))]<- maInvert(draw.parm[j, (object$arma[temp[1]] + 1):(sum(object$arma[temp[1]:temp[2]]))])
+ }
+ if(temp[2]==1){
+ draw.parm[j, (sum(object$arma[temp[1]]) + 1):(sum(object$arma[temp[1]:temp[2]]))]<- .Call("ARIMA_transPars",draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(sum(object$arma[1]) + 1):(sum(object$arma[1:2]))]
+}
+ if(temp[2]==3){
+ draw.parm[j, (sum(object$arma[temp[1]]) + 1):object$arma[temp[2]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
+
+ }
+}
+if(length(temp)>2){
+if(temp[1]==2 | temp[1]==4){
+ draw.parm[i, 1:object$arma[temp[1]]]<- maInvert(draw.parm[j, 1:object$arma[temp[1]]])
+ }
+ if(temp[1]==1){
+ draw.parm[j, 1:object$arma[temp[1]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][1:object$arma[temp[1]]]
+ }
+ if(temp[1]==3){
+ draw.parm[j, 1:object$arma[temp[3]]]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
+ }
+for(i in 2:length(temp)){
+if(temp[i]==2 | temp[i]==4){
+ draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- maInvert(draw.parm[j,
+ (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))])
+ }
+ if(temp[i]==1){
+ draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- .Call("ARIMA_transPars",draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]
+}
+ if(temp[i]==3){
+ draw.parm[j, (sum(object$arma[temp[1]:temp[(i-1)]]) + 1):(sum(object$arma[temp[1]:temp[(i)]]))]<- .Call("ARIMA_transPars", draw.parm[j, 1:sum(object$arma[temp[1:length(temp)]])],
+ as.integer(object$arma[1:5]), TRUE, PACKAGE = "stats")[[1]][(1:object$arma[3])*object$arma[5]]
+ }
+
+ }
+}
+}
+}
+ if (x$min.time==1 | x$min.time==2)
+ stop("Counterfactuals can only be specified from the third observation and later \n")
+ if (ncol(x$dta)==0){
+ ev <- matrix(NA, nrow=nrow(draw.parm), ncol=(pred.ahead))
+ se <- matrix(NA, nrow=nrow(draw.parm), ncol=(pred.ahead))
+ for (i in 1:nrow(draw.parm)){
+ temp <- arima(series, xreg=NULL,
+ order=c(object$arma[1], object$arma[6], object$arma[2]),
+ seasonal=list(order=c(object$arma[3], object$arma[7], object$arma[4]),
+ period=object$arma[5]), fixed=draw.parm[i,], transform.pars=TRUE)
+ temp2 <-predict(temp, newxreg=NULL, n.ahead=(pred.ahead))
+ ev[i,] <- temp2$pred[1:(pred.ahead)]
+ se[i,] <- temp2$se[1:(pred.ahead)]
+ }
+ ev <- as.matrix(ev)
+ se <- as.matrix(se)
+ if (!is.null(x1)){
+ warning("First differences are only calculated when external regressors are used \n")
+ }
+ }
+ if (ncol(x$dta) > 0){
+ x.obs <- as.matrix(x$dta[1:(x$min.time-1),])
+ x.cf <- as.matrix(x$dta[x$min.time: (x$max.time), ])
+ ev <- matrix(NA, nrow=nrow(draw.parm), ncol=(length(x$min.time:x$max.time)))
+ se <- matrix(NA, nrow=nrow(draw.parm), ncol=(length(x$min.time:x$max.time)))
+ if (x$min.time == nrow(x$dta)){
+ x.cf<- t(x.cf)
+ }
+ for (i in 1:nrow(draw.parm)){
+ temp <- arima(series[1:(x$min.time-1)], xreg=x.obs,
+ order=c(object$arma[1], object$arma[6], object$arma[2]),
+ seasonal=list(order=c(object$arma[3], object$arma[7], object$arma[4]),
+ period=object$arma[5]), fixed=draw.parm[i,])
+ temp2 <-predict(temp, newxreg=x.cf, n.ahead=nrow(x.cf))
+ ev[i,] <- temp2$pred
+ se[i,] <- temp2$se
+ }
+ ev <- as.matrix(ev)
+ }
+ if (!is.null(x1)){
+ if (ncol(x1$dta) > 0){
+ x1.obs <- as.matrix(x1$dta[1:(x1$min.time-1), ])
+ x1.cf <- as.matrix(x1$dta[x1$min.time:(x1$max.time),])
+ ev.1 <- matrix(NA, nrow=nrow(draw.parm), ncol=length(x$min.time:x$max.time))
+ se.1 <- matrix(NA, nrow=nrow(draw.parm), ncol=length(x$min.time:x$max.time))
+ pred.ahead <- x$pred.ahead
+ pred.arima.x1 <- list()
+ false.arima.x1 <- list()
+ if (x1$min.time == nrow(x1$dta)){
+ x1.cf <- t(x1.cf)
+ }
+ for (i in 1:nrow(draw.parm)){
+ temp3<- arima(series[1:(x1$min.time-1)], xreg=x1.obs,
+ order=c(object$arma[1], object$arma[6], object$arma[2]),
+ seasonal=list(order=c(object$arma[3], object$arma[7],
+ object$arma[4]), period=object$arma[5]),
+ fixed=draw.parm[i,])
+ temp4 <- predict(temp3, newxreg=x1.cf, n.ahead=nrow(x.cf))
+ ev.1[i,] <- temp4$pred
+ se.1[i,] <- temp4$se
+ }
+ ev.1 <- as.matrix(ev.1)
+ }
+ }
+ if (!is.null(x1) & t.effect){
+ warning("First differences and treatment effects are not both calculated.Calculating first differences only.\n")
+ }
+ if (is.null(x1) & (t.effect)){
+ t.eff <- matrix(NA, nrow=nrow(ev), ncol=ncol(ev))
+ for (i in 1:nrow(ev)){
+ t.eff[i,] <- series[(x$min.time):x$max.time] - ev[i,]
+ }
+ }
+ if (!is.null(x1) | !(t.effect)){
+ t.eff <- NULL
+ }
+ if (!is.null(x1)){
+ se <- as.matrix(se)
+ se.1 <- as.matrix(se.1)
+ fd <- ev.1 - ev
+ qi <- list(ev=ev, se=se, fd=fd, t.eff=t.eff)
+ qi.name <- list(ev="Expected Values, E(Y|X)", se="Prediction Standard Error",
+ fd="First Difference, E(Y|X1) - E(Y|X)", t.eff="Treatment Effect")
+ res <- list(min.time=x$min.time, qi=qi, qi.name=qi.name,
+ zelig.call = object$call,
+ t.series = eval(eval(object$call$formula[[2]],
+ envir=dat)$name, envir=dat))
+ class(res) <- c("zelig.arima", "zelig")
+ return(res)
+ }
+ if (is.null(x1)){
+ se <- as.matrix(se)
+ qi <- list(ev=ev, se=se, t.eff=t.eff)
+ qi.name <- list(ev="Expected Values, E(Y|X)", se="Prediction Standard Error",
+ t.eff="Treatment Effect")
+ res <- list(min.time=x$min.time, qi=qi, qi.name=qi.name,
+ t.series=eval(eval(object$call$formula[[2]],
+ envir=dat)$name, envir=dat),
+ zelig.call = object$call)
+ class(res) <- c("zelig.arima", "zelig")
+ return(res)
+ }
+}
+
diff --git a/R/summary.MI.R b/R/summary.MI.R
index e11f440..b8ebe8a 100644
--- a/R/summary.MI.R
+++ b/R/summary.MI.R
@@ -10,19 +10,20 @@ summary.MI <- function(object, subset = NULL, ...){
ans$call <- getcall(object[[1]])
if (length(M) > 1) {
ans$all <- res
- coef <- se <- NULL
+ coef1 <- se1 <- NULL
for (i in M){
- coef <- cbind(coef, getcoef(res[[i]])[,1])
- se <- cbind(se, getcoef(res[[i]])[,2])
+ tmp <- getcoef(res[[i]])
+ coef1 <- cbind(coef1, tmp[,1])
+ se1 <- cbind(se1, tmp[,2])
}
- rows <- nrow(coef)
- Q <- apply(coef, 1, mean)
- U <- apply(se^2, 1, mean)
- B <- apply((coef-Q)^2, 1, sum)/(length(M)-1)
+ rows <- nrow(coef1)
+ Q <- apply(coef1, 1, mean)
+ U <- apply(se1^2, 1, mean)
+ B <- apply((coef1-Q)^2, 1, sum)/(length(M)-1)
var <- U+(1+1/length(M))*B
nu <- (length(M)-1)*(1+U/((1+1/length(M))*B))^2
coef.table <- matrix(NA, nrow = rows, ncol = 4)
- dimnames(coef.table) <- list(rownames(coef),
+ dimnames(coef.table) <- list(rownames(coef1),
c("Value", "Std. Error", "t-stat", "p-value"))
coef.table[,1] <- Q
coef.table[,2] <- sqrt(var)
diff --git a/R/terms.multiple.R b/R/terms.multiple.R
index d6f8ffe..81de637 100644
--- a/R/terms.multiple.R
+++ b/R/terms.multiple.R
@@ -1,128 +1,204 @@
+###
+## terms
+## -accept single and multiple equations:
+## -in case of single equations, the equation is named "mu". is this right?
+## -if mu=y~x:z then the attr(tt,"variable") gives list(y,x:z). Should it be list(y,x,z) ??
+## -
+
+
terms.multiple<-function(x, data=NULL,...){
- object <- x
- termsexist<-attr(object,"terms")
- if(!(is.null(termsexist)))
- return (termsexist)
-
- nreq<-nrConstr<-nrEquationsNew<-0
- constr<-XconstrEqn<-variables<-termlabels<-depVars<-objectNew<-intercAttr<-depFactors<-list()
- depFactorVar<-depLevels<-namesConstr<-c()
- namesOfEquations<- names(object)
- nrEquations <-length(object)
- "%w/o%" <- function(x,y) x[!x %in% y]
-
- for (i in 1:nrEquations){
- TT<-terms.formula(object[[i]], specials=c("id","tag"))
- eqni<-object[[i]]
- namei<-namesOfEquations[[i]]
- tagattr<-attr(TT,"specials")$tag
- hastag<-!(is.null(tagattr))
- if (hastag){
- constrTmp<-c()
- for(j in 1:length(tagattr)){
- nrConstr<-nrConstr+1
- if(length(eqni)==3)
- ind<-tagattr[[j]]-1
+ object <- x
+ termsexist<-attr(object,"terms")
+ if(!(is.null(termsexist)))
+ return (termsexist)
+
+ nreq<-nrConstr<-nrEquationsNew<-0
+ constr<-XconstrEqn<-variables<-termlabels<-depVars<-objectNew<-intercAttr<-depFactors<-list()
+ depFactorVar<-depLevels<-namesConstr<-c()
+ if(!(any(class(object)=="list"))){
+ object<-list(object)
+ names(object)<-"mu"
+ }
+ namesOfEquations<- names(object)
+ nrEquations <-length(object)
+ "%w/o%" <- function(x,y) x[!x %in% y]
+
+ for (i in 1:nrEquations){
+ TT<-terms.formula(object[[i]], specials=c("id","tag"))
+ attrTTvars<-attr(TT,"variables")
+ attrTTlabels<-attr(TT,"term.labels")
+
+ eqni<-object[[i]]
+ namei<-namesOfEquations[[i]]
+ tagattr<-attr(TT,"specials")$tag
+ hastag<-!(is.null(tagattr))
+ if (hastag){
+ ## has tag so make a new list of variables and term.labels
+ newVars<-list()
+ newLabels<-c()
+ indxV<-indxL<-1
+ constrTmp<-c()
+ for(j in 1:length(tagattr)){
+ taglabels<-c()
+ if(length(eqni)==3)
+ lind<-tagattr[[j]]-1
+ else
+ lind<-tagattr[[j]]
+ vind<-tagattr[[j]]+1
+ ## add all vars/terms prior to tag into new list of
+ ## newVars and newLabels
+ for(v in indxV:(vind))
+ newVars<-c(newVars,attrTTvars[[v]])
+ newVars[[length(newVars)]]<-NULL
+ indxV<-vind+1
+
+ for(l in c(indxL:lind))
+ newLabels<-c(newLabels,attrTTlabels[[l]])
+ newLabels<-newLabels[-(length(newLabels))]
+ indxL<-lind+1
+
+ ## deparse and fix the tag
+ tagAsList <-.fixTag(.deparseTag(attrTTvars[[vind]]))
+ for (tindx in 1:length(tagAsList)){
+ t<-tagAsList[[tindx]]
+ if(((t$var %in% namesOfEquations)==FALSE) && t$var != "none" && t$var != "1"){
+ newVars<-c(newVars,parse(text=t$var)[[1]])
+ newLabels<-c(newLabels,t$var)
+ }
+ if(((t$id %in% namesOfEquations)==FALSE) && t$id !="none" && t$id !="1"){
+ ##print(t$id)
+ newVars<-c(newVars,parse(text=t$id)[[1]])
+ newLabels<-c(newLabels,t$id)
+ }
+ ## constraints ?
+ if(t$var !="none" && t$label !="none" && t$id =="none"){
+ nrConstr<-nrConstr+1
+ namesConstr<-c(namesConstr,t$label)
+ constr[[nrConstr]]<-c(i,t$label,t$var)
+ constrTmp<-c(constrTmp,t$var) ##???? what is constrTMP?
+ }
+ }
+ }
+ ## if there is any var/term remaining after tags
+ ## add them to newVars and newLabels
+ if(length(attrTTvars)>vind){
+ for(v in (vind+1):length(attrTTvars))
+ newVars<-c(newVars,attrTTvars[[v]])
+ }
+
+ if(length(attrTTlabels)>lind){
+ for(l in (lind+1):length(attrTTlabels))
+ newLabels<-c(newLabels,attrTTlabels[[l]])
+ }
+
+ XconstrEqn[[i]]<-constrTmp
+
+ ## make newVars and newLabels unique
+ newVars<-unique(newVars)
+ newLabels <- unique(newLabels)
+ } else{
+ ## there is no tag => newVars and newLabels remain unchanged
+ newVars<-attrTTvars
+ newLabels<-attrTTlabels
+ }
+ nrEquationsNew<-nrEquationsNew+1
+ objectNew[[namei]]<-eqni
+ if (length(eqni)==3){
+
+ nreq=nreq+1 ## number of required equations
+ lhs<-eqni[[2]]
+ if (length(lhs)>1 && lhs[[1]]=="id"){
+ depVars[[namei]]<-lhs[[3]]
+ depFactorVar<-c(depFactors,deparse(lhs[[2]]))
+ depLevels<-c(depLevels,lhs[[3]])
+ }else
+ depVars[[namei]]<-deparse(eqni[[2]])
+
+ }
+ attr(TT,"variables")<-as.call(newVars)
+ attr(TT,"term.labels")<-newLabels
+ variables[[namei]]<-attr(TT,"variables")
+ termlabels[[namei]]<-attr(TT,"term.labels")
+ intercAttr[[namei]]<-attr(TT,"intercept")
+ } ## end of for each equation
+
+ namesOfEquations<-names(objectNew)
+ myattr<-list()
+ result<-objectNew
+ constraints<-subs<-FALSE
+
+ ## construct constraints
+ namesConstr<-unique(namesConstr)
+ if(length(constr)>0){
+ constraints<-matrix(NA,nrow=nrEquationsNew,ncol=length(namesConstr),dimnames=list(namesOfEquations,namesConstr))
+ for(i in 1:length(constr)){
+ constri<-constr[[i]]
+ eqind<-constri[[1]]
+ eq<-namesOfEquations[as.numeric(eqind)]
+ lab<-constri[[2]]
+ constraints[eq,lab]<-constri[[3]]
+ }
+ }
+
+ indVars<-unique(unlist(termlabels))
+ if(length(depFactorVar) !=0)
+ depFactors<-list("depFactorVar"=unique(unlist(depFactorVar)),"depLevels"=depLevels)
else
- ind<-tagattr[[j]]
- vind<-tagattr[[j]]+1
- parsedTag<-attr(TT,"variables")[[vind]]
- varname<-as.character(parsedTag[[2]])
- label<-as.character(parsedTag[[3]])
- namesConstr<-c(namesConstr,label)
- constr[[nrConstr]]<-c(i,label,varname)
- attr(TT,"term.labels")[[ind]]<-varname
- attr(TT,"variables")[[vind]]<-as.name(varname)
- constrTmp<-c(constrTmp,varname)
- }
- XconstrEqn[[i]]<-constrTmp
- }
- if (length(eqni)==3){
- nrEquationsNew<-nrEquationsNew+1
- objectNew[[namei]]<-eqni
- nreq=nreq+1
- lhs<-eqni[[2]]
- if (length(lhs)>1 && lhs[[1]]=="id"){
- depVars[[namei]]<-lhs[[3]]
- depFactorVar<-c(depFactors,deparse(lhs[[2]]))
- depLevels<-c(depLevels,lhs[[3]])
- }else
- depVars[[namei]]<-deparse(eqni[[2]])
- }else{
- nrEquationsNew<-nrEquationsNew+1
- objectNew[[namei]]<-eqni
- }
- variables[[namei]]<-attr(TT,"variables")
- termlabels[[namei]]<-attr(TT,"term.labels")
- intercAttr[[namei]]<-attr(TT,"intercept")
- }
-
- namesOfEquations<-names(objectNew)
- myattr<-list()
- result<-objectNew
- subs<-constraints<-FALSE
-
- if(length(constr)>0){
- dvars<-unique(unlist(depVars))
- namesConstr<-unique(namesConstr)
- namesC<-namesConstr %w/o% dvars
- namesS <-namesConstr %w/o% namesC
- nrC<-nrS<-0
- constrC<-constrS<-list()
- rownamesS<-c()
- for(i in 1:length(constr)){
- constri<-constr[[i]]
- if(constri[[2]] %in% dvars){
- nrS=nrS+1
- constrS[[nrS]]<-constr[[i]]
- rownamesS<-c(rownamesS,namesOfEquations[[which(constri[[2]] ==dvars)]])
- }else{
- nrC=nrC+1
- constrC[[nrC]]<-constr[[i]]
- }
- }
- if(length(constrC)>0){
- constraints<-matrix(NA,nrow=nrEquationsNew,ncol=length(namesC),dimnames=list(namesOfEquations,namesC))
- for(i in 1:length(constrC)){
- constri<-constrC[[i]]
- eqind<-constri[[1]]
- eq<-namesOfEquations[as.numeric(eqind)]
- lab<-constri[[2]]
- constraints[eq,lab]<-constri[[3]]
- }
- }
- if(length(constrS)>0){ #subs
- subs<-matrix(NA,nrow=length(rownamesS),ncol=length(namesS),dimnames=list(rownamesS,namesS))
- for(i in 1:length(constrS)){
- constri<-constrS[[i]]
- lab<-constri[[2]]
- subs[rownamesS[[i]],lab]<-constri[[3]]
- }
- }
- }
+ depFactors<-FALSE
+
+ whiche<-which(lapply(termlabels,length)!=0)
+ myattr$systEqns<-names(whiche)
+ myattr$ancilEqns<-"%w/o%"(namesOfEquations,myattr$systEqns)
+
+ myattr$variables<-variables
+ myattr$term.labels<-termlabels
+ myattr$indVars<-indVars
+
+ myattr$depVars<-depVars
+ myattr$depFactors<-depFactors
+ myattr$constraints<-constraints
+ myattr$subs<-subs
+ myattr$response<-1
+ myattr$intercept<-intercAttr
+ attributes(result)<-myattr
+ names(result)<-namesOfEquations
+ class(result)<-c("terms","multiple","list")
+ return(result)
+}
+
+###
+## Fix the deparsed tag
+##
+
- indVars<-unique(unlist(termlabels))
- if(length(depFactorVar) !=0)
- depFactors<-list("depFactorVar"=unique(unlist(depFactorVar)),"depLevels"=depLevels)
- else
- depFactors<-FALSE
-
- whiche<-which(lapply(termlabels,length)!=0)
- myattr$systEqns<-names(whiche)
- myattr$ancilEqns<-"%w/o%"(namesOfEquations,myattr$systEqns)
-
- myattr$variables<-variables
- myattr$term.labels<-termlabels
- myattr$indVars<-indVars
-
- myattr$depVars<-depVars
- myattr$depFactors<-depFactors
- myattr$constraints<-constraints
- myattr$subs<-subs
- myattr$response<-1
- myattr$intercept<-intercAttr
- attributes(result)<-myattr
- names(result)<-namesOfEquations
- class(result)<-c("terms","multiple","list")
- return(result)
+.fixTag <- function(l){
+
+ if(l$var == "1" && l$label!="none"){
+ ## tag(1,z1 | state) == tag (z1|state)
+ l$var <- l$label
+ l$label <- "none"
+
+ }
+ if(l$label =="none"){
+ ## tag(1+z1|state)
+ vars<-.trim(unlist(strsplit(l$var,"+", fixed=TRUE)))
+ }else{
+ ## tag(z1,w1+w2|state)
+ vars<-.trim(unlist(strsplit(l$label,"+", fixed=TRUE)))
+ }
+ if(length(vars) == 1){
+ ## nothing to expand
+ return (list(l))
+ }else{
+ alltgs<-list()
+ for(i in 1:length(vars)){
+ if(l$label == "none")
+ alltgs[[i]] <- list(label="none",var=vars[[i]],id=l$id)
+ else
+ alltgs[[i]] <- list(label="none",var=paste(l$var,":",vars[[i]],sep=""),id=l$id)
+
+ }
+ }
+ return (alltgs)
+
}
diff --git a/R/zelig.default.R b/R/zelig.default.R
index 34bf74c..d36856e 100644
--- a/R/zelig.default.R
+++ b/R/zelig.default.R
@@ -52,14 +52,23 @@ zelig.default <- function(formula, model, data, by = NULL, save.data =
d <- d[complete.cases(model.frame(mf$formula, data=d,
na.action = na.pass)),]
mf$data <- d
- res <- create.ZeligS4(eval(as.call(mf)))
+# res <- create.ZeligS4(eval(as.call(mf)))
+ res <- eval(as.call(mf))
if (exists(fn2))
res <- do.call(fn2, list(res = res, fcall = mf,
zcall = as.list(zelig.call)))
- res$call <- as.call(zelig.call)
- if (save.data)
- res$zelig.data <- d
- res$zelig <- model
+ check <- length(slotNames(res)) > 0
+ if (check) {
+ res at call <- as.call(zelig.call)
+ res at model <- as.data.frame(d)
+ }
+ else{
+ res$call <- as.call(zelig.call)
+ if (save.data) res$zelig.data <- as.data.frame(d)
+ }
+# res$call <- as.call(zelig.call)
+# if (save.data) res$zelig.data <- d
+# res$zelig <- model
if (M > 1)
obj[[j]] <- res
else
diff --git a/R/zvcClient.R b/R/zvcClient.R
new file mode 100644
index 0000000..960341f
--- /dev/null
+++ b/R/zvcClient.R
@@ -0,0 +1,1112 @@
+###
+### DESCRIPTION: Returns matrix of details corresponding to packages
+### Zelig depends on directly or indirectly
+### Every row corresponds to a dependent package with the name,
+### version installed in server,the node (parent pkg),and URL
+### Dependent packages are not repeated (no duplicates) and the highest
+### version is reported
+###
+### USE matinst <- zelig.all.packages()
+### matinst <- zelig.all.packages(zmat)
+### zmat, matrix of zelig dependencies--OR-- directory to get the matrix
+###
+### OUTPUT: zmat is reduced to unique package rows (no repetitions)
+### that Zelig depends on and that are installed in server.
+### Rows for each package that Zelig depends, which are unique;
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/18/2007
+###
+###
+zelig.all.packages <- function(zmat=matrixDependencies(uniqPkg=FALSE))
+{
+
+ if(length(zmat) <= 0 )
+ stop("Provide matrix of dependencies")
+
+ zmat <- getRidVersion(zmat)
+ dm <- dim(zmat)
+ if(length(dm) <= 0)
+ return(zmat);
+ pkgorg <- zmat[dm[1], ] ###last row
+ lv0 <- trim.blanks(zmat[dm[1],"depth"])
+ if(lv0 != "0"){
+ ix0 <- grep("^0$", zmat[,"depth"])
+ if(length(ix0)) pkgorg <- zmat[ix0, ]
+ }
+ cl <- ncol(zmat)
+ nmorg <- trim.blanks(pkgorg["Package"])
+ names(nmorg) <- NULL
+ ncl <- ncol(zmat)
+ pkginst <- zmat[, "Package"]
+
+ pkginst <- unique.default(pkginst) ###preserve order
+ ln <- length(pkginst)
+ ix <- match(nmorg,pkginst) ###put the root package in last entry or element
+ if(is.na(ix))
+ pkginst <- c(pkginst,nmorg)
+
+ if(!is.na(ix) && !identical(nmorg, pkginst[ln])) {
+ pkginst <- pkginst[-ix]
+ nm <- names(pkginst)
+ pkginst <- c(pkginst,nmorg)
+ names(pkginst) <- c(nm, nmorg)
+
+ }
+
+ zelstm <- split.data.frame(zmat, zmat[,"Package"]) ###may not preserve order
+### to preserve the original order of package rows in zmat
+ ind <- sapply(pkginst, match,names(zelstm) )
+ zelstm <- zelstm[ind]
+### I do not know if several versions of the same package
+### are stored in the data matrix;
+### keep lowest depth of dependency closer to root pkg
+
+ zelst <- lapply(zelstm, function(mat){
+ vers <- na.omit(mat[,"Version"])
+ ix1 <- grep("1", mat[,"depth"])
+
+ if(length(ix1) > 1){ ###returns fst level dependency
+ ixz <- c(grep("1z", mat[,"depth"]),grep("1Z", mat[,"depth"]))
+ if(length(ixz))
+ return(mat[ixz, ]) ###first from describe, "1z"
+ else
+ return(mat[ix1, ]) ###snd level "1"
+ }
+
+ return(mat[nrow(mat),])}) ##returns lowest level
+
+ ind <- sapply(pkginst, match,names(zelst) ) ###preserver order of rows packages
+ zelst <- zelst[ind]
+
+ nmzelig <- names(zelst)
+
+ nmzelig <- sapply(nmzelig, FUN="trim.blanks")
+ zmatuq <- matrix(unlist(zelst), ncol=cl, byrow=T)
+
+ colnames(zmatuq) <- colnames(zmat)
+
+ rwnm <- zmatuq[, "Package"]
+ rownames(zmatuq) <- zmatuq[, "Package"]
+ zelig <- trim.blanks(pkgorg["Package"])
+ names(zelig) <- NULL
+
+ return(zmatuq)
+}
+
+###
+### DESCRIPTION: Returns/Creates matrix of details corresponding to packages
+### Zelig depends on directly or indirectly
+### and are installed in the local machine.
+### Every row corresponds to a dependent package with the name,
+### and version,installed in local machine, which migth not
+### be the same as the server where Zelig is running.
+###
+### USES: installed.packages(priority=prior,noCache=!cache)
+### prior="NA"(large number), prior="high" (small number);
+### prior=NULL which picks up all in "NA" and "high".
+### matinst <- zelig.installed.packages(mat <- zelig.all.packages(zmat))
+###
+### INPUT
+### zmat = matrixDependencies(), is matrix of dependencies,
+### as obtained from create.zelig.all.packages("Zelig")
+### and then applying zelig.all.packages
+### that eliminates duplicates packages (fst column)
+### disp boolean to show the putput in a GUI
+### prior is the priority of installed.packages
+### cache also input for parameter noCahe of installed.packages
+### libpath library directory to search for; example, libpath= "~/.R/library-x86_64"
+###
+### OUTPUT: Matrix similar to available.packages, but only those packages
+### that Zelig depends on and that are installed in the local machine.
+### Rows for each package that Zelig depends on;
+### columns are the name, and the locally installed version
+### Also returns the R.version installed locally,as the last row of the matrix
+###
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/18/2007
+###
+zelig.installed.packages <- function(zmat=matrixDependencies(), disp=F, prior=NULL,cache=F, libpath=NULL)
+{
+
+ if(length(zmat) <= 0){
+ stop("Provide dependency matrix as from...zelig.all.packages")
+
+ }
+ localinst <- installed.packages(lib.loc=libpath,priority=prior,noCache=!cache)
+ localinst <- getRidVersion(localinst)
+### colnames(localinst)
+### "Package" "LibPath" "Version" "Priority" "Bundle" "Contains"
+### "Depends" "Imports" "Suggests" "Built"
+### rownames(localinst) names of the packages installed
+ no1 <- sessionInfo()$R.version$major
+ no2 <- sessionInfo()$R.version$minor
+ vv <- paste(no1,".",no2, sep="")
+ Rvers <- paste("R.version ", no1,".",no2, sep="")
+
+ zrw <- rownames(zmat) ### names of packages derived from Zelig
+ zrw <- unlist(sapply(zrw, FUN="trim.blanks"))
+ zrwuq <- unique.default(zrw)
+
+###eliminate duplicate rows if any
+ if(length(zrwuq) < length(zrw)){
+ zmat <- zelig.all.packages(zmat)
+ zrw <- rownames(zmat)
+ zrw <- unlist(sapply(zrw, FUN="trim.blanks"))
+ zrwuq <- unique.default(zrw)
+ }
+
+ lrw <- rownames(localinst) ### names packages installed in local machine
+ lrw <- unlist(sapply(lrw, FUN="trim.blanks"))
+ lrwuq <- unique.default(lrw)
+
+ ind <- sapply(zrwuq, match, lrwuq)
+
+ pkginst <- NULL
+
+ if(length(ind) > 0){
+ ind <- na.omit(ind)
+ pkginst <- lrwuq[ind]
+ names(pkginst) <- lrwuq[ind]
+
+ }
+ if(length(pkginst) <= 0){
+ message("No ",zrw[length(zrw)]," descendent packages installed in locally")
+ print(Rvers)
+ return(list())
+ }
+###print(pkginst)
+
+ pkgin <- unique.default(intersect(zrwuq, lrwuq))
+ names(pkgin) <- pkgin
+ if(length(pkginst) <= 0 && length(pkgin) <= 0){
+ message("No ", zmat[1,1]," descendent packages installed in locally")
+ return(Rvers)
+ }
+
+### no need just for testing. Commented out because of warnings
+### messages that I do not want to fix.
+### if(any(sort(na.omit(pkgin)) != sort(na.omit(pkginst)))){
+
+### stop("Bad calculation of package installed")
+### }
+
+ ind <- sapply(pkginst, match, lrw)
+
+ matinst <- NULL
+ versinst <- NULL
+ if(length(ind) > 0){
+
+ matinst <- localinst[ind,]
+ pkgsinst <- matinst[, "Package"]
+ versinst <- matinst[, "Version"]
+
+ rownames(matinst) <- pkgsinst
+
+ }
+ lst <- list()
+ ind <- 1:nrow(matinst)
+ lst <- sapply(ind, function(n){
+ vec <- paste(matinst[n, "Package"]," ", matinst[n, "Version"], sep="")
+ return(vec)
+ })
+ lst <- sapply(lst, FUN="trim.blanks")
+ lst <- unlist(lst)
+ lst <- unique.default(lst)
+
+ if(disp)
+ res <- menu(lst, graphics=disp)
+ ix <- sapply(c("Package", "Version"), match, colnames(localinst))
+ ix <- na.omit(unlist(ix))
+ ret <- matinst[, ix]
+ ret <- rbind(ret, R=c("R", vv))
+ return(ret)}
+
+### DESCRIPTION stand alone function that gets the R version
+### in the local environment and, if zmat is provided,
+### in the environment were Zelig was built. We can
+### also obtained the matrix zmat from 'file'.
+###
+### OUTPUT: the R version in the local and Zelig environments
+
+getRVersion <- function(zmat=matrixDependencies())
+{
+
+ if(length(zmat) <= 1 && zmat=="")
+ stop("Provide matrix dependencies")
+
+ no1 <- sessionInfo()$R.version$major
+ no2 <- sessionInfo()$R.version$minor
+ vv <- paste(no1,".",no2, sep="")
+ Rvers <- paste("R ", no1,".",no2, sep="")
+ lst <- c(local=Rvers)
+
+
+ rw <- rownames(zmat)
+ rw <- sapply(rw, FUN="trim.blanks")
+
+ ln <- nrow(zmat)
+ pkgorg <- zmat[ln,"Package"]
+ lv0 <- trim.blanks(zmat[ln,"depth"])
+ if(lv0 != "0"){
+ ln <- grep("^0$", zmat[,"depth"])
+ if(length(ln)) pkgorg <- zmat[ln,"Package"]
+ }
+
+ if(length(dim(zmat)) > 0)
+ Rserver <- zmat[ln, "Node"]
+ else
+ Rserver <- zmat[["Node"]]
+ nm <- names(lst)
+ lst <- c(lst, Rserver)
+ names(lst) <- c(nm, pkgorg)
+
+ lst <- sapply(lst,function(m) strsplit(m, " ")[[1]][2])
+ return(lst)
+
+}
+### DESCRIPTION stand alone function that gets version of Zelig
+### in the local environment and, if zmat is provided,
+### in the environment were Zelig was built. We can
+### also obtained the matrix zmat from 'file'.
+###
+### OUTPUT: version of Zelig in both the local and Zelig environments
+
+getZeligVersion <- function(zmat=matrixDependencies(),lib.loc=NULL){
+
+ if(length(zmat) <= 1 && zmat=="")
+ stop("Provide matrix dependencies")
+
+ pk <- "Zelig"
+
+ if(class(zmat) != "try-error"){
+ if(length(dim(zmat)) > 0)
+ { ### make sure itr is level "0"
+ ln <- nrow(zmat)
+ pk <- zmat[ln,"Package"]
+ lv0 <- trim.blanks(zmat[ln,"depth"])
+ if(lv0 != "0"){
+ ln <- grep("^0$", zmat[,"depth"])
+ if(length(ln)) pk <- zmat[ln,"Package"]
+ }
+ }else
+ pk <- zmat[["Package"]]
+ }
+
+ desc <- try(packageDescription(pk,lib.loc=lib.loc), silent=TRUE)
+ Zvers <- NULL
+ Zvers <- desc$Version
+ if(length(Zvers) <= 0)
+ message(pk," is not installed locally")
+
+ lst <- c(local=Zvers)
+ if(class(zmat) =="try-error")
+ return(lst)
+ rw <- rownames(zmat)
+ rw <- sapply(rw, FUN="trim.blanks")
+ ix <- c( grep("Zelig", rw),grep("zelig", rw))
+ if(length(ix) <= 0) ix <- nrow(zmat)
+ if(length(dim(zmat)) >0)
+ Zserver <- zmat[ix, "Version"]
+ else
+ Zserver <- zmat[["Version"]]
+
+ lst <- c(lst, Zideal=Zserver)
+ names(lst) <- c("local", pk)
+ return(lst)
+
+}
+###DESCRIPTION: Takes the matrix of Zelig dependencies, zmat
+### and the name of the library to search for Zelig.
+### Finds the versions locally and in the server
+### Returns a vector with versions and report differences
+###
+###
+compareZeligVersion <- function(zmat=matrixDependencies(),lib.loc=NULL){
+ vec <- getZeligVersion(zmat,lib.loc)
+ if(length(vec) <= 0)
+ return(vec)
+### only one row
+
+ localvers <- vec[["local"]]
+ ix <- grep("local", names(vec))
+
+ zvers <- vec[[-ix]]
+
+ res <- compareVersion(localvers, zvers)
+ if(res != 0){
+ message("Local installed version for ",names(vec)[2] , " differ from Zideal")
+ return(list())
+ }
+ return(vec)
+}
+
+
+
+###
+### DESCRIPTION: Returns/Creates matrix of details corresponding to packages
+### Zelig depends on directly or indirectly
+### and are NOT installed in the local environment.
+### Every row corresponds to a dependent package with the name,
+### the version, the parent (node), relation, URL to download it,
+### and depth in graph or level of dependency.
+###
+### USES: installed.packages()
+###
+### USE zmat is the matrix return with create.zelig.all.packages("Zelig")
+### zmat <- zelig.all.packages(matrixDependencies()),
+### Calls zelig.installed.packages, and will
+### find derived packages installed locally,
+### i.e. required or derived from zelig and live in local machine
+### Compares then and returns new packages
+### level, which depth of dependencies pkg are derived from; default 1
+### cache, use the installed.packages matrix from environmnet or calculate
+### from fresh as in noCache of installed.packages
+###
+### INPUT lib.loc libraries directories to search for.
+### zmat is matrix of dependencies stored in system files
+### matin, matrix with packages installed locally that belongs to zmat
+### matin <- zelig.installed.packages(zmat,cache=noCache,libpath=lib.loc)
+### level, the depth from root package
+### (level of dependency of Zelig package)
+###
+### OUTPUT: Matrix similar to available.packages,newpkgmat, but only those packages
+### that Zelig depends on and that are NOT installed in the local machine.
+### Rows for each package that Zelig depends; columns are
+### the name, version, parent (node) and type of dependency, URL,
+### and level of graph
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/24/2007
+###
+zelig.new.packages <- function(lib.loc=NULL,zmat=matrixDependencies(),matin=NULL,level=1 )
+{
+####Input arguments################
+### present a graphic of results
+ disp <- FALSE
+### whether to use cache information, correspond to noCache=!cache
+ cache <- FALSE
+#################################################
+
+ pkgnm <- zmat[dim(zmat)[1],1]
+ zrw <- zmat[, "Package"]
+ zrwuq <- unique.default(zrw)
+ lrw <- rownames(matin)
+### names packages installed in local machine derived from zelig
+ lrw <- unlist(suppressWarnings(sapply(lrw, FUN="trim.blanks")))
+ lrwuq <- unique.default(lrw)
+ dec <- 0
+ if(length(grep("^R",lrwuq[length(lrwuq)], extended=T)) > 0) dec <- 1
+### print(zrwuq)
+
+ ind <- sapply(lrwuq, match, zrwuq)
+ ind <- na.omit(unlist(ind))
+
+ if(length(ind) < (length(lrwuq)-dec))
+ stop("Bad calculation of zelig.installed.packages or bad input for locally installed")
+
+ if(length(ind) <= 0)
+ stop("Provides the installed pkgs with zelig.installed.packages")
+
+ if(length(zrwuq[ind]) >= length(zrwuq)){
+ message("All ",pkgnm ," pkgs are installed.CHECK their versions")
+ lst <- NULL
+ return(lst)
+ }
+
+ pkgsnoinst <- zrwuq[-ind]
+### print(zrwuq[-ind])
+ pkgnoin <- unique.default(setdiff(zrwuq, lrwuq))
+ names(pkgnoin) <- pkgnoin
+
+ if(length(pkgsnoinst) <= 0 && length(pkgnoin) <= 0){
+
+ message("All ", pkgnm, " pkgs are installed. CHECK their versions")
+ lst <- NULL
+ return(lst)
+ }
+
+### if(length(na.omit(pkgnoin)) && length(na.omit(pkgsnoinst)))
+### if(any(sort(na.omit(pkgnoin)) != sort(na.omit(pkgsnoinst)))){
+
+### stop("Bad calculation of package installed")
+### }
+
+ newpkgmat <- NULL
+ pkgmod <- sapply(pkgsnoinst,function(m) paste("^",m,"$",sep=""))
+ ind <- unlist(sapply(pkgmod,grep,zrw,extended=T))
+
+ if(length(ind) > 0){
+ ind <- unlist(ind)
+ ix <- suppressWarnings(grep.exact(zrw[ind], pkgsnoinst))$index ### you do not need this with extended=T
+ if(length(ix) > 0) ind <- ind[-ix]
+ }
+ if(length(ind) > 0){
+ newpkgmat <- zmat[ind,]
+ rwn <- rownames(newpkgmat)
+ rwn <- unlist(suppressWarnings(sapply(rwn, FUN="trim.blanks")))
+ rownames(newpkgmat) <- rwn
+ }
+
+
+ ints <- intersect(pkgsnoinst, zrw)
+ rwz <- suppressWarnings(sapply(rownames(zmat), FUN="trim.blanks"))
+ rwz <- unlist(rwz)
+ rownames(zmat) <- rwz
+ matnoin <- zmat[rownames(zmat) %in% ints,]
+ if(length(matnoin)== ncol(zmat))
+ matnoin <- matrix(matnoin, nrow=1)
+
+ if(length(ind) <= 0){
+ message("No new packages ")
+ return(Rvers)}
+###for display
+ nrw <- nrow(newpkgmat)
+ if(length(nrw) <= 0){
+ nrw <- length(newpkgmat)
+ lst <- as.list(paste(newpkgmat["Package"]," ", newpkgmat["Version"], sep=""))
+ }else{
+ ind <- as.list(1:nrw)
+ lst <- sapply(ind, function(n){
+ vec <- paste(newpkgmat[n, "Package"]," ", newpkgmat[n, "Version"], sep="")
+
+ return(vec)
+ })
+ }
+
+ lst <- suppressWarnings(sapply(lst, FUN="trim.blanks"))
+ lst <- unlist(lst)
+ lst <- unique.default(lst)
+### if(disp) ###controls the Selection of packages as well
+ if(disp)
+ res <- menu(lst, graphics=disp)
+###select.list(ls)
+
+ if(length(level) > 0 || !is.na(level))
+ newpkgmat <- suppressWarnings(selectLevels(newpkgmat, level))
+
+ return(newpkgmat)
+}
+###
+### DESCRIPTION: Returns/Creates matrix of details corresponding to packages
+### Zelig depends on directly or indirectly
+### and are installed in the local machine.
+### Every row corresponds to a dependent package with the name,
+### the version, the parent, the relation to the parent.
+### The version is the pkg version in the local machine, which
+### could not be the same as the server where Zelig is running.
+###
+### USES: installed.packages()
+###
+### USE matrixDependencies() with zideal
+### matin is matrix of two columns (pkg, vers) with locally installed
+### packages that are in zideal (derived from Zelig) as obtained from
+### zelig.installed.packages.
+### level, which depth of dependencies pkg are derived from; default 1
+###
+### INPUT lib.loc libraries directories to search for.
+### zmat, matrix with packages dependencies
+### matin, matrix with packages installed locally that belongs to zmat
+### matin <- zelig.installed.packages(zmat,cache=noCache,libpath=lib.loc)
+### level, the depth from root package
+###
+###
+### OUTPUT: Matrix similar to available.packages,but only those packages
+### that Zelig depends and that are NOT installed in the local machine.
+### Rows for each package that Zelig depends; columns are
+### the name, version, parent and type of relation (dependency)
+### from parent description.
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 02/06/2007
+###
+
+zelig.old.packages <- function(lib.loc=NULL,zmat= matrixDependencies(),matin=NULL, level=1 )
+{
+####Input arguments################
+### zmat is the matrix of dependencies stored in system files
+### present a graphic of results
+ disp <- FALSE
+### whether to use cache information, correspond to noCache=!cache
+ cache <- FALSE
+#################################################
+
+### colnames(zmat) "Package" "Version" "Node" "Relation" "URL" "depth"
+
+ rwm <- rownames(matin)
+ if(length(rwm) > 0) {
+ rwm <- sapply(rwm, FUN="trim.blanks")
+ ir <- grep("^R$",rwm)
+ if(length(ir)){
+ matin <- matin[-ir, ]
+ rwm <- rwm[-ir]
+ }
+ rownames(matin) <- rwm
+ }
+ zrwm <- rownames(zmat)
+ zrwm <- sapply(zrwm, FUN="trim.blanks")
+ rownames(zmat) <- zrwm
+ ind <- unlist(sapply(rownames(matin), match, rownames(zmat)))
+ ind <- na.omit(ind)
+ zmatinst <- zmat[ind, ]
+
+
+ ix <- sapply(rownames(matin),match,rownames(zmatinst))
+ ix <- na.omit(unlist(ix))
+ zmatinst <- zmatinst[ix, ]
+ diffmat <- NULL
+ for(n in 1:nrow(matin))
+ {
+ lpkg <- trim.blanks(matin[n, 1])
+ lvers <- trim.blanks(matin[n, 2])
+ zpkg <- trim.blanks(zmatinst[n,"Package"])
+ zvers <- trim.blanks(zmatinst[n,"Version"])
+ zdepth <- trim.blanks(zmatinst[n,"depth"])
+ if(!identical(lpkg, zpkg))
+ stop("Packages name should be identicals")
+ if(!identical(zvers,lvers)){
+ diffmat <- rbind(diffmat,c(matin[n,],Zideal =zvers,depth=zdepth))
+ rownames(diffmat) <- diffmat[,"Package"]
+ }
+ }
+ if(length(diffmat) <= 0){
+ message("All packages version are up-to-date")
+ lst <- NULL
+ return(lst)
+ }
+
+ if(!is.na(level))
+ diffmat <- selectLevels(diffmat, level)
+ if(length(diffmat) > 0)
+ diffmat <- check.advance.versions(diffmat)
+
+ return(diffmat)
+
+}
+### DESCRIPTION: Given the matrix output of zelig.new.packages, or zelig.old.packages
+### select the level of dependencies specified by the integer parameter depth
+### Returns mat with only the rows in depth
+###
+selectLevels <- function(mat, depth){
+
+ if(is.na(depth))
+ return(mat)
+
+ d1z <- "1Z"
+
+ if(!length(grep("1[z-Z]", depth)))
+ depth <- as.numeric(depth)
+ if(length(dim(mat))<=0 || dim(mat)[1] <= 1){
+ nmvec <- names(mat)
+ nmcol <- colnames(mat)
+ ix <- unique.default(c(grep("depth", nmvec),grep("depth", nmcol)))
+ mat.depth <- mat[[ix]]
+ if(length(grep("^1[z-Z]$",mat.depth),extended=T)<=0){
+ bool1 <- as.numeric(mat.depth) <= depth
+ }else{
+ bool1 <- mat.depth <= "1z" || mat.depth <= "1Z"
+ }
+ bool2 <- mat.depth <= as.character(depth)
+
+ bool <- c(bool1, bool2)
+
+ if(length(bool) && is.na(all(bool)))
+ bool <- length(grep(depth,mat.depth))
+ else if(length(bool2) && is.na(bool2))
+ bool <- length(grep(depth,mat.depth)) || bool1
+ else if(length(bool1) && is.na(bool1))
+ bool <- length(grep(depth,mat.depth)) || bool2
+ else
+ bool <- length(grep(depth,mat.depth)) || bool2 || bool1
+
+ if(bool) return(mat)
+
+ message("No packages found at level selected of dependencies")
+### print(mat)
+ return(list())
+
+ }
+
+ mat.depth <- mat[,"depth"]
+ ord <- order(mat.depth)
+ mat <- mat[ord, ]
+ mat.depth <- mat[,"depth"]
+
+ ix <- grep("^1[z-Z]*$|^0$", mat.depth)
+ ln <- length(ix)
+ if(depth=="1z" || depth=="1Z")
+ return(mat[sort(ix),])
+ if(as.numeric(depth) <= 1)
+ return(mat[sort(ix),])
+
+ vv <- paste("^",2:depth,"$", sep="")
+
+ ind <- unlist(sapply(vv, grep, mat.depth))
+ if(length(ind) <= 0)
+ return(mat[sort(ix), ])
+
+ ix <- unique.default(c(ind, sort(ix)))
+
+ return(mat[ix, ])
+
+}
+### DESCRIPTION: finds if the locally installed versions of
+### Zelig derived packages are higher than those
+### of the required by the Zelig installation or zideal.
+### If that is the case it rermoves the row corresponding
+### to the package from the matrix mat
+###
+### INPUT: matrix of 4 columns from zelig.old.packages
+### with name of pkg, version local, zelig version and depth of dependency
+###
+### OUTPUT same matrix mat but with possible rows removed.
+### Those rows correspond to packages that have local versions larger than Zelig versions
+### helper function tro zelig.old.packages
+
+check.advance.versions <- function(mat){
+ ind.to.rm <- NULL
+ if(length(mat) <= 0)
+ return(mat)
+### only one row
+ if(length(dim(mat)) <= 0 )
+ {
+ localvers <- mat[["Version"]]
+ ix <- grep("Version", names(mat))
+
+ zvers <- mat[[3]]
+ res <- compareVersion(localvers, zvers)
+ if(res >= 1){
+ message("Local installed version for ", mat["Package"], " higher than Zideal")
+ return(list())
+ }
+ return(mat)
+ }
+
+
+### more than one package
+ for(n in 1:nrow(mat)){
+ localvers <- mat[n,"Version"]
+ zvers <- mat[n,"Zideal"]
+ res <- compareVersion(localvers, zvers)
+ if(res >= 1){
+ message("Local installed version for ", mat[n,"Package"], " higher than Zideal")
+ ind.to.rm <- c(ind.to.rm, n)
+ next;
+ }
+ }
+ if(length(ind.to.rm) > 0)
+ mat <- mat[-ind.to.rm, ]
+ return(mat)
+
+}
+
+### DESCRIPTION: Compares version numbers of Zelig derived packages
+### that are installed in the local machine with those
+### from the environment where Zelig was built, dependency level first.
+### Also, obtaine the list of packages that are part of Zelig and
+### not installed in the local machine, level 1.
+### Update the outdated packages and installed new pkgs on the fly.
+###
+### USES: zmat matrix with dependencies as, zmat <- zelig.all.packages()
+### --OR-- zmat <- matrixDependencies()
+### zelig.installed.packages, zelig.old.packages and
+### zelig.new.packages, pkg.update
+###
+### INPUT destdir to save the download packages
+### installWithVers as in install.packages, save pkg as YourCast_version#
+### noCache as in install.packages, get it from fresh
+### dependencies as in install.packages
+### repos repository to download from
+### lib.loc directory path to search for packages
+###
+###
+### Elena Villalon
+### evillalon at iq.harvard.edu
+###
+
+zelig.packages.update <- function(destdir=NULL,installWithVers=FALSE,lib.loc=NULL, repos="http://cran.r-project.org")
+{
+
+####Input arguments################
+### zmat is the matrix of dependencies stored in system files
+ zmat <- matrixDependencies()
+### level of dependency
+ level <- 1
+### whether to install all dependent packages
+ dependencies <- TRUE
+### whether to use cache information, correspond to noCache=!cache
+ noCache <- TRUE
+####whether to install existent packages with older versions
+ oldpkg <- TRUE
+### whether to install newer packages in the dependency list of Zelig
+ newpkg <- TRUE
+#################################################
+ vec <- compareZeligVersion(zmat,lib.loc)
+ if(length(vec) <= 0)
+ stop("Update ",zmat[nrow(zmat),"Package"])
+
+ zrw <- zmat[, "Package"]
+ zrwuq <- unique.default(zrw)
+ if(length(zrwuq) < length(zrw))
+ zmat <- zelig.all.packages(zmat) ### eliminates duplicates pkgs
+ Rvers <- getRVersion(zmat)
+ Rvers <- unlist(Rvers)
+ val <- compareVersion(Rvers[[1]], Rvers[[2]])
+ if(val != 0) stop("Local R version different from Zelig required version")
+ dm <- dim(zmat)
+ if(length(level) <= 0 || is.na(level))
+ level <- check.max.depth(zmat)
+
+ if(length(dm) <= 0 || dm[1]==1){
+ message(zmat[1,1]," has no dependents")
+ return(zmat)
+ }else
+ pkgnm <- zmat[dm[1], 1]
+
+ if(!length(destdir))
+ destdir <- getwd()
+
+ zrw <- rownames(zmat) ### names of packages derived from Zelig
+ zrw <- unlist(sapply(zrw, FUN="trim.blanks"))
+ zrwuq <- unique.default(zrw)
+ zold <- NULL
+ znew <- NULL
+ zinst <- zelig.installed.packages(zmat, disp=F, prior=NULL,cache=!noCache, libpath=lib.loc)
+
+ if(oldpkg)
+ zold <- zelig.old.packages(lib.loc=lib.loc,zmat,zinst,1)
+
+ if(newpkg)
+ znew <- zelig.new.packages(lib.loc=lib.loc,zmat,zinst,1)
+ if(!length(zold) && !length(znew)) {
+ message("All Zelig derived packages up-to-date")
+ return(list())
+ }
+
+ if(length(zold)>0)
+ if(length(dim(zold)) <= 0)
+ ret <- pkg.update(zold,zmat,depend=dependencies,versinst=installWithVers,destdir=destdir,repos=repos)
+ else
+ ret <- apply(zold,1, FUN="pkg.update",zmat,dependencies,installWithVers,destdir,repos)
+
+ if(length(znew) >0)
+ if(length(dim(znew)) <= 0)
+ ret <- pkg.update(znew,zmat,depend=dependencies,versinst=installWithVers,destdir=destdir,repos=repos)
+ else
+ ret <- apply(znew,1, FUN="pkg.update",zmat,dependencies,installWithVers,destdir,repos)
+
+}
+### DESCRIPTION: helper function to install packages derived from Zelig that
+### are either installed in the local machine and outdated or
+### they are not all
+###
+### INPUT: vec contains the name of package and the desired version to install
+### mat is the matrix of Zelig dependencies that is used to check the URL
+### dependencies same as in install.packages
+### repos repository to download from
+###
+### USES: install.packages
+###
+pkg.update <- function(vec,mat,depend=F, versinst=T,destdir=NULL, repos="http://cran.r-project.org")
+{
+ pkg <- vec["Package"]
+ names(pkg) <- NULL
+ pkg <- trim.blanks(pkg)
+ vers <- vec["Zideal"]
+ names(vers) <- NULL
+ ix <- match(pkg, rownames(mat))
+ url <- NULL
+ if(!is.na(ix)){
+ url <- try(mat[ix,"URL"], silent=T)
+
+ if(class(url)=="try-error") url <- repos
+ if(url=="CRAN") url <- repos
+ }
+
+ message("Trying url....", url)
+ message("For package...", pkg)
+ message("Destination directory for source files...", destdir)
+
+ install.packages(pkg,repos=url,installWithVers=versinst,dependencies=depend,destdir=destdir)
+ return(list())
+}
+
+trim.blanks <- function(x) {
+### at the beginning of string"^" gets anny number (+) of white spaces
+ f <- x
+ if(length(x))
+ f <- na.omit(x)
+
+ if(length(f) <= 0)
+ return(x)
+ if(length(f)>1)
+ print(f)
+ if(f=="" )
+ return(x)
+ x <- sub("^[[:space:]]*(.*)", "\\1",x) ###get \n\t
+ x <- sub('^ +', '', x) ###get white spaces
+
+### at the ending of string"$" gets anny number (+) of white spaces
+
+ x <- sub("(.*)[[:space:]]*$", "\\1", x)
+ x <- sub(' +$', '', x)
+ return(x)
+}
+### DESCRIPTION: Utility function to check the results of applying grep
+### grep may not get the exact full name but uses a loose
+### regex to get all names that contains the input words
+### For example grep("abc", c("abc", "pab", "dabcm", "clr, "abc""))
+### will return 1, 3, 5. This function eliminates 3, counting characters
+### NOTE: no need to apply this function if you use grep with extended=TRUE
+### grep("^describe$", c("describe", "le describe", "desc", "describeport"), extended=T)
+### gets only [1] 1
+###
+### NOTE: match will get the exact full string and will dismiss anything
+### that is not an exact match: match("abc", "pabcm")=NA; however,
+### it only finds the first occurance,
+### i.e. match("abc",c("pabcqr", "abc", "lmn","vabc","abc"))= 2
+### Same as grep("^abc$", c("pabcqr", "abc", "lmn","vabc","abc"), extended=T)
+###
+### USES: grep
+###
+### INPUT: matinst <- grep.exact(); outcome a vector of character
+### we want to check for correctness.
+### input is another vector of the strings
+### that need to be found in the outcome.
+###
+### OUTPUT: It checks that outcome and input contain the same values
+### and eliminate those that are not exact match between outcome and input.
+### Returns outcome with all not exact matches eliminated; and
+### index ix of the strins that were eliminated from the
+### original outcome.
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/24/2007
+###
+grep.exact <- function(outcome, input){
+ ind <- 1:length(outcome)
+ names(ind) <- outcome
+
+ ix <- sapply(ind, function(n){
+ ret <- NULL
+ if(length(outcome[n]) <= 0)
+ return(ret)
+ nm <- trim.blanks(outcome[n])
+ pkg <- trim.blanks(input[n])
+
+ if(nchar(nm) != nchar(pkg))
+ ret <- n
+ return(ret)})
+ ix <- unlist(ix)
+ if(length(ix) > 0)
+ outcome <- outcome[-ix]
+ lst <- list(list(outcome=outcome), list(index=ix))
+ return(lst)
+}
+### DESCRIPTION Helper function. If the package have attached the version number
+### it removes them.Example, "YourCast_2.9-8" becomes "YourCast"
+###
+getRidVersion <- function(zmat, oneonly=FALSE){
+ nm <- NULL
+
+ if(oneonly && length(grep("_", zmat)) <= 0)
+ return(zmat)
+ else if(oneonly){
+ nm <- sub("(.*)_([-0-9.]*)","\\1", zmat)
+ nm <- trim.blanks(nm)
+ return(nm)
+ }
+
+ if(length(dim(zmat)) <= 0 || dim(zmat)[1] <=1){
+ pkginst <- zmat["Package"]
+
+ }else{
+ pkginst <- zmat[,"Package"]
+ }
+
+ pkginst <- sapply(pkginst, function(nm){
+ if(length(grep("_", nm)) <= 0)
+ return(nm)
+ nm <- sub("(.*)_([-0-9.]*)","\\1", nm)
+ nm <- trim.blanks(nm)
+ })
+
+ pkginst <- unlist(pkginst)
+ if(length(dim(zmat)) <= 0|| dim(zmat)[1] <=1){
+ zmat["Package"] <- pkginst
+
+ }else{
+
+ zmat[,"Package"] <- pkginst
+ rownames(zmat) <- zmat[,"Package"]
+
+
+ }
+ return(zmat)
+}
+
+###
+check.max.depth <- function(zmat,level="depth"){
+ clnm <- colnames(zmat)
+ ix <- grep(level, clnm)
+ if(length(ix) <= 0){
+ message("Level of dependency not included")
+ return(NULL)
+ }
+ vec <- zmat[,ix]
+ vec[vec == "1z"] <- "1"
+ vec[vec == "1Z"] <- "1"
+ return(max(as.numeric(vec)))
+
+}
+###DESCRIPTION takes a file that stores the matrix with Zelig
+### dependencies as obtained create.zelig.all.packages
+### Returns the object or matrix stored in the file
+### If uniquePkg=T, then it eliminates duplicates pkgs in the matrix
+### of dependencies and only the lowest dependency level is included.
+###
+matrixDependencies <- function(file=system.file("zideal", "zideal.RData", package="Zelig"), uniqPkg=TRUE){
+ zmat <- try(eval(as.symbol(load(file))))
+ if(class(zmat) == "try-error"){
+ message("Bad input file ", file)
+ return(NULL)
+ }
+ if(uniqPkg)
+ zmat <- zelig.all.packages(zmat)
+ return(zmat)
+}
+###
+### DESCRIPTION: Compares the packages in Zelig matrix of dependencies,
+### from the environment where Zelig was built,
+### with those that are installed in the local machine
+### at dependency level first, level=1.
+### Finds those packages with older versions and thoes that are not installed
+###
+###
+### INPUT: lib.loc library to find locally packages that are installed
+###
+### USES:zelig.installed.packages, zelig.old.packages and
+### zelig.new.packages, getRVersion, compareZeligVersion
+###
+### OUTPUT list with tow elements, znew for Zelig packages that are not installed
+### and zold for Zelig packages that are installed wqith older versions.
+###
+### Elena Villalon
+### evillalon at iq.harvard.edu
+###
+zelig.packages.status <- function(lib.loc=NULL)
+{
+####Hiden input arguments################
+### zmat is the matrix of dependencies stored in system files
+ zmat <- matrixDependencies()
+### matin matrix of locally installed packages
+ matin <- NULL
+### level of dependency
+ level <- 1
+### present a graphic of results
+ disp <- FALSE
+### whether to use cache information, correspond to noCache=!cache
+ cache <- FALSE
+#################################################
+ vec <- compareZeligVersion(zmat,lib.loc)
+ if(length(vec) <= 0)
+ stop("Update ",zmat[nrow(zmat),"Package"])
+ lst <- getRVersion(zmat)
+ lst <- unlist(lst)
+ val <- compareVersion(lst[[1]], lst[[2]])
+ if(val != 0)
+ stop("User R version different from Zelig required R version")
+
+ if(length(level) <= 0 || is.na(level))
+ level <- check.max.depth(zmat)
+
+ zrw <- rownames(zmat) ### names of packages derived from Zelig
+ zrw <- unlist(suppressWarnings(sapply(zrw, FUN="trim.blanks")))
+ zrwuq <- unique.default(zrw)
+
+ if(length(zrwuq) < length(zrw)){
+ zmat <- zelig.all.packages(zmat)
+ zrw <- rownames(zmat)
+ zrw <- unlist(suppressWarnings(sapply(zrw, FUN="trim.blanks")))
+ zrwuq <- unique.default(zrw)
+ }
+
+ dm <- dim(zmat)
+
+ if(length(dm) <= 0||dm[1]==1){
+ message(zmat[1,1]," has no dependents")
+ return(zmat)
+ }else
+ pkgnm <- zmat[dm[1], 1]
+
+### colnames(localinst)
+### "Package" "LibPath" "Version" "Priority" "Bundle" "Contains"
+### "Depends" "Imports" "Suggests" "Built"
+### rownames(localinst) names of the packages installed
+
+ if(length(matin) <= 0)
+ matin <- zelig.installed.packages(zmat,disp=F,cache=cache,libpath=lib.loc)
+ if(all(is.na(matin))|| length(matin) <= 0)
+ {
+ message("No packages derived from ",pkgnm, " are installed locally")
+ if(length(level) > 0 || !is.na(level))
+ newpkgmat <- suppressWarnings(selectLevels(zmat, level))
+ else
+ newpkgmat <- zmat
+
+ tmp <- cbind(newpkgmat[,"Package"], rep(NA,nrow(newpkgmat)), newpkgmat[,"Version"])
+ colnames(tmp) <- c("Package", "Version", "Zideal")
+ ret <- c(znew=tmp)
+ return(ret)
+ }
+
+###matin packages that zelig depends on and are installed locally:
+### matin has two columns pkg name and local version
+
+ zold <- zelig.old.packages(lib.loc, zmat, matin,level)
+ dmold <- dim(zold)
+ if(length(dmold) && dmold[1]>=1)
+ zold <- zold[, c("Package", "Version", "Zideal")]
+ else if(length(zold))
+ zold <- zold[c("Package", "Version", "Zideal")]
+ else
+ zold <- NULL
+
+ znew <- zelig.new.packages(lib.loc, zmat,matin,level)
+ dmnew <- dim(znew)
+ tmp <- znew
+ if(length(dmnew) && dmnew[1] >= 1){
+ tmp <- cbind(znew[,"Package"], rep(NA,nrow(znew)), znew[,"Version"])
+ colnames(tmp) <- c("Package", "Version", "Zideal")
+ }else if(length(znew)){
+ tmp <- cbind(Package=znew["Package"], Version=rep(NA,1), Zideal=znew["Version"])
+
+ }else
+ tmp <- NULL
+
+
+ mat <- rbind(zold,tmp)
+ if(length(dim(mat))){
+ pkgnm <- mat[,"Package"]
+ rownames(mat) <- pkgnm
+ }else{
+ pkgnm <- mat["Package"]
+
+ }
+ return(mat)
+}
+
+
+
+
diff --git a/README b/README
index 46a6409..815f606 100644
--- a/README
+++ b/README
@@ -1,3 +1,19 @@
+2.8-3 (May 29, 2007): Stable release for R 2.4.0-2.5.0. Fixed bugs in
+ help.zelig(), and summary for multinomial logit, bivariate probit,
+ and bivariate logit with multiple imputation. First version
+ dependencies are as follows:
+ MASS 7.2-34
+ boot 1.2-27
+ VGAM 0.7-1
+ MCMCpack 0.8-2
+ mvtnorm 0.7-5
+ survival 2.31
+ sandwich 2.0-0
+ zoo 1.2-1
+ coda 0.10-7
+ nnet 7.2-34
+ sna 1.4
+
2.8-2 (March 3, 2007): Stable release for R 2.4.0-2.4.1. Fixed bug in
ARIMA simulation process.
diff --git a/demo/mi.R b/demo/mi.R
index 5e62be4..19a4ff2 100644
--- a/demo/mi.R
+++ b/demo/mi.R
@@ -14,3 +14,19 @@ user.prompt()
summary(s.out)
user.prompt()
plot(s.out)
+user.prompt()
+z.out <- zelig(as.factor(ipip) ~ wage1992 + prtyid + ideol, model = "mlogit",
+ data = mi(immi1, immi2, immi3, immi4, immi5))
+user.prompt()
+summary(z.out)
+user.prompt()
+
+x.out <- setx(z.out)
+user.prompt()
+s.out <- sim(z.out, x = x.out)
+user.prompt()
+summary(s.out)
+user.prompt()
+plot(s.out)
+
+
diff --git a/inst/doc/index.shtml b/inst/doc/index.shtml
index 0623b31..2080880 100644
--- a/inst/doc/index.shtml
+++ b/inst/doc/index.shtml
@@ -12,7 +12,7 @@
<a href="http://www.people.fas.harvard.edu/~olau/">Olivia Lau</a>
<br /><br />
<!-- rbuild: replace 'Version:' '</b>' version -->
-<b>Version:2.8-2</b>
+<b>Version:2.8-3</b>
<table border='0' cellpadding='0' cellspacing='8'><tr><td valign='top' width='200'>
<p !style="float:left; width: 200; margin: 1.5em;"> <a
diff --git a/inst/doc/models/bprobit.aux b/inst/doc/models/bprobit.aux
index 61dff0c..1cc7292 100644
--- a/inst/doc/models/bprobit.aux
+++ b/inst/doc/models/bprobit.aux
@@ -1,6 +1,6 @@
\relax
-\@writefile{toc}{\contentsline {section}{\numberline {12.3}{\tt bprobit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}}
-\newlabel{bprobit}{{12.3}{138}{{\tt bprobit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables\relax }{section.12.3}{}}
+\@writefile{toc}{\contentsline {section}{\numberline {12.3}{\tt bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}}
+\newlabel{bprobit}{{12.3}{138}{{\tt bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables\relax }{section.12.3}{}}
\@writefile{toc}{\contentsline {subsubsection}{Syntax}{138}{section*.150}}
\@writefile{toc}{\contentsline {subsubsection}{Input Values}{138}{section*.151}}
\@writefile{toc}{\contentsline {subsubsection}{Examples}{139}{section*.152}}
diff --git a/inst/doc/models/bprobit.tex b/inst/doc/models/bprobit.tex
index 9971712..1b173f1 100644
--- a/inst/doc/models/bprobit.tex
+++ b/inst/doc/models/bprobit.tex
@@ -1,4 +1,4 @@
-\section{{\tt bprobit}: Bivariate Logistic Regression for Two
+\section{{\tt bprobit}: Bivariate Probit Regression for Two
Dichotomous Dependent Variables}\label{bprobit}
Use the bivariate probit regression model if you have two binary
diff --git a/inst/doc/models/eiRxC.tex b/inst/doc/models/eiRxC.tex
index 2155f66..37e708e 100644
--- a/inst/doc/models/eiRxC.tex
+++ b/inst/doc/models/eiRxC.tex
@@ -203,8 +203,8 @@ Please cite the model as
\bibentry{RosJiaKin01}.
\end{verse}
-Jason Wittenberg, Ferdinand Alimadhi, and Olivia Lau implemented the
-$R \times C$ {\sc ei} model for Zelig.
+Jason Wittenberg, Badri Narayan Bhaskar, Ferdinand Alimadhi, and
+Olivia Lau implemented the $R \times C$ {\sc ei} model for Zelig.
%%% Local Variables:
%%% mode: latex
diff --git a/inst/doc/zelig.aux b/inst/doc/zelig.aux
index 4792c34..964500d 100644
--- a/inst/doc/zelig.aux
+++ b/inst/doc/zelig.aux
@@ -231,8 +231,8 @@
\citation{Ripley96}
\citation{BreFriOls84}
\citation{Hansen04}
-\citation{DiaSek05}
\@writefile{toc}{\contentsline {subsubsection}{Contributors}{113}{section*.94}}
+\citation{DiaSek05}
\@input{commands/mi.aux}
\@input{commands/network.aux}
\@input{commands/plot.ci.aux}
@@ -313,9 +313,9 @@
\@writefile{toc}{\contentsline {section}{\numberline {B.1}What's New: Zelig Release Notes}{333}{section.B.1}}
\newlabel{release.notes}{{B.1}{333}{What's New: Zelig Release Notes\relax }{section.B.1}{}}
\newlabel{table.compat}{{B.1}{333}{What's New: Zelig Release Notes\relax }{section.B.1}{}}
-\@writefile{toc}{\contentsline {section}{\numberline {B.2}What's Next?}{338}{section.B.2}}
\bibstyle{asa}
\bibdata{gk,gkpubs}
+\@writefile{toc}{\contentsline {section}{\numberline {B.2}What's Next?}{339}{section.B.2}}
\bibcite{AdoKinHer03}{{1}{2003}{{Adolph et~al.}}{{Adolph, Gary~King, and Shotts}}}
\bibcite{Andrews91}{{2}{1991}{{Andrews}}{{}}}
\bibcite{BreFriOls84}{{3}{1984}{{Breiman et~al.}}{{Breiman, Friedman, Olshen, and Stone}}}
diff --git a/inst/doc/zelig.bbl b/inst/doc/zelig.bbl
index beccc21..08d46d8 100644
--- a/inst/doc/zelig.bbl
+++ b/inst/doc/zelig.bbl
@@ -60,8 +60,8 @@ Ho, D., Imai, K., King, G., and Stuart, E. (2005), \enquote{Matchit: Matching
Http://gking.harvard.edu/matchit/.
\bibitem[{Ho et~al.(2007)Ho, Imai, King, and Stuart}]{HoImaKin07}
---- (2007), \enquote{Matching as Nonparametric Preprocessing for Parametric
- Causal Inference,} \textit{Political Analysis},
+--- (2007), \enquote{Matching as Nonparametric Preprocessing for Reducing Model
+ Dependence in Parametric Causal Inference,} \textit{Political Analysis},
http://gking.harvard.edu/files/abs/matchp-abs.shtml.
\bibitem[{Huber(1981)}]{Huber81}
diff --git a/inst/doc/zelig.blg b/inst/doc/zelig.blg
index f2780b7..f257dec 100644
--- a/inst/doc/zelig.blg
+++ b/inst/doc/zelig.blg
@@ -63,7 +63,7 @@ Warning--empty journal in KinZen06b
Warning--empty pages in Qui04
You've used 43 entries,
2777 wiz_defined-function locations,
- 1056 strings with 14048 characters,
+ 1056 strings with 14077 characters,
and the built_in function-call counts, 19256 in all, are:
= -- 1787
> -- 891
diff --git a/inst/doc/zelig.log b/inst/doc/zelig.log
index 31c0a64..49a6af9 100644
--- a/inst/doc/zelig.log
+++ b/inst/doc/zelig.log
@@ -1,4 +1,4 @@
-This is pdfTeX, Version 3.14159-1.10b (Web2C 7.4.5) (format=pdflatex 2006.1.9) 3 MAR 2007 12:58
+This is pdfTeX, Version 3.14159-1.10b (Web2C 7.4.5) (format=pdflatex 2006.1.19) 29 MAY 2007 22:42
**zelig
(./zelig.tex{/usr/share/texmf/pdftex/config/pdftex.cfg}
LaTeX2e <2001/06/01>
@@ -1590,15 +1590,9 @@ ce mea-sure. /cmtt12/summary(m.out/tctt1200/$/cmtt12/model)
[]
[112]
-Overfull \hbox (21.70538pt too wide) in paragraph at lines 336--339
-/cmr12/fer-ence,'' /cmti12/Po-lit-i-cal Anal-y-sis/cmr12/, http://gking.harvard
-.edu/files/abs/matchp-abs.shtml
- []
-
-
-Overfull \hbox (113.02359pt too wide) in paragraph at lines 336--339
-/cmr12/Non-para-met-ric Pre-pro-cess-ing for Para-met-ric Causal In-fer-ence,''
- Http://gking.harvard.edu/matchit/
+Overfull \hbox (142.5597pt too wide) in paragraph at lines 336--339
+/cmr12/pen-dence in Para-met-ric Causal In-fer-ence,'' /cmti12/Po-lit-i-cal Ana
+l-y-sis/cmr12/, http://gking.harvard.edu/files/abs/matchp-
[]
@@ -4249,6 +4243,18 @@ Underfull \hbox (badness 8189) in paragraph at lines 32--35
es,''
[]
+
+Underfull \hbox (badness 10000) in paragraph at lines 63--66
+[]/cmr12/--- (2007), ``Match-ing as Non-para-met-ric Pre-pro-cess-ing for Re-du
+c-ing
+ []
+
+
+Underfull \hbox (badness 10000) in paragraph at lines 63--66
+/cmr12/Model De-pen-dence in Para-met-ric Causal In-fer-ence,'' /cmti12/Po-lit-
+i-cal Anal-y-sis/cmr12/,
+ []
+
[340
]
@@ -4297,9 +4303,9 @@ LaTeX Warning: There were undefined references.
)
Here is how much of TeX's memory you used:
- 8953 strings out of 95437
- 113445 string characters out of 1188002
- 217441 words of memory out of 1000001
+ 8951 strings out of 95437
+ 113379 string characters out of 1190233
+ 217465 words of memory out of 1000001
10025 multiletter control sequences out of 10000+50000
24511 words of font info for 99 fonts, out of 500000 for 1000
14 hyphenation exceptions out of 1000
@@ -4329,4 +4335,4 @@ ype1/bluesky/cm/cmtt12.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmbx12.pfb>
e1/bluesky/cm/cmr8.pfb></usr/share/texmf/fonts/type1/bluesky/cm/cmr10.pfb></usr
/share/texmf/fonts/type1/bluesky/cm/cmr12.pfb></usr/share/texmf/fonts/type1/blu
esky/cm/cmr17.pfb>
-Output written on zelig.pdf (344 pages, 1430743 bytes).
+Output written on zelig.pdf (344 pages, 1431354 bytes).
diff --git a/inst/doc/zelig.out b/inst/doc/zelig.out
index 7b35d6d..faaaf3a 100644
--- a/inst/doc/zelig.out
+++ b/inst/doc/zelig.out
@@ -81,7 +81,7 @@
\BOOKMARK [0][-]{chapter.12}{Models Zelig Can Run}{part.3}
\BOOKMARK [1][-]{section.12.1}{ARIMA : ARIMA Models for Time Series Data}{chapter.12}
\BOOKMARK [1][-]{section.12.2}{blogit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{chapter.12}
-\BOOKMARK [1][-]{section.12.3}{bprobit: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{chapter.12}
+\BOOKMARK [1][-]{section.12.3}{bprobit: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{chapter.12}
\BOOKMARK [1][-]{section.12.4}{ei.dynamic: Quinn's Dynamic Ecological Inference Model}{chapter.12}
\BOOKMARK [1][-]{section.12.5}{ei.hier: Hierarchical Ecological Inference Model for 2 2 Tables}{chapter.12}
\BOOKMARK [1][-]{section.12.6}{ei.RxC: Hierarchical Multinomial-Dirichlet Ecological Inference Model for R C Tables}{chapter.12}
diff --git a/inst/doc/zelig.pdf b/inst/doc/zelig.pdf
index aa4f80f..5c12494 100644
--- a/inst/doc/zelig.pdf
+++ b/inst/doc/zelig.pdf
@@ -501,7 +501,7 @@ endobj
<< /S /GoTo /D (section.12.3) >>
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+(bprobit: Bivariate Probit Regression for Two Dichotomous Dependent Variables)
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trailer
<<
/Size 3550
@@ -28947,5 +28951,5 @@ trailer
/Info 3549 0 R
>>
startxref
-1359652
+1360263
%%EOF
diff --git a/inst/doc/zelig.tex b/inst/doc/zelig.tex
index 418db1f..9645c64 100644
--- a/inst/doc/zelig.tex
+++ b/inst/doc/zelig.tex
@@ -59,7 +59,7 @@ Olivia Lau\thanks{Ph.D.\ Candidate, Department of Government, Harvard
\texttt{OLau at Fas.Harvard.Edu}).}}
% rbuild: replace 'Version ' '\\' Version
-\date{Version 2.8-2\\ \today}
+\date{Version 2.8-3\\ \today}
\begin{document}
\maketitle
@@ -113,6 +113,25 @@ few days.
\begin{itemize}
+\item {\bf 2.8-3} (May 29, 2007): Stable release for R 2.4.0-2.5.0.
+Fixed bugs in {\tt help.zelig()}, and summary for multinomial logit,
+bivariate probit, and bivariate logit with multiple imputation. (Thanks
+to Brant Inman and Javier Marquez.) First version dependencies are as
+follows:\newline
+\begin{tabular}{ll}\label{table.compat}
+ MASS & 7.2-34 \\
+ boot & 1.2-27 \\
+ VGAM & 0.7-1 \\
+ MCMCpack & 0.8-2 \\
+ mvtnorm & 0.7-5 \\
+ survival & 2.31 \\
+ sandwich & 2.0-0 \\
+ zoo & 1.2-1 \\
+ coda & 0.10-7 \\
+ nnet & 7.2-34 \\
+ sna & 1.4
+\end{tabular}
+
\item {\bf 2.8-2} (March 3, 2007): Stable release for R 2.4.0-2.4.1.
Fixed bug in ARIMA simulation process.
@@ -125,7 +144,7 @@ Fixed bug in ARIMA simulation process.
2.4.0-2.4.1. Released ARIMA models and network analysis models (least
squares and logit) for sociomatrices. First level dependencies are as
follows:\newline
-\begin{tabular}{ll}\label{table.compat}
+\begin{tabular}{ll}
MASS & 7.2-31 \\
boot & 1.2-27 \\
VGAM & 0.7-1 \\
diff --git a/inst/doc/zelig.toc b/inst/doc/zelig.toc
index 4d56603..0be94c7 100644
--- a/inst/doc/zelig.toc
+++ b/inst/doc/zelig.toc
@@ -208,7 +208,7 @@
\contentsline {subsubsection}{Quantities of Interest}{135}{section*.147}
\contentsline {subsubsection}{Output Values}{136}{section*.148}
\contentsline {subsubsection}{Contributors}{137}{section*.149}
-\contentsline {section}{\numberline {12.3}{\tt bprobit}: Bivariate Logistic Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}
+\contentsline {section}{\numberline {12.3}{\tt bprobit}: Bivariate Probit Regression for Two Dichotomous Dependent Variables}{138}{section.12.3}
\contentsline {subsubsection}{Syntax}{138}{section*.150}
\contentsline {subsubsection}{Input Values}{138}{section*.151}
\contentsline {subsubsection}{Examples}{139}{section*.152}
@@ -559,4 +559,4 @@
\contentsline {section}{\numberline {A.2}For Zelig Contributors}{331}{section.A.2}
\contentsline {chapter}{\numberline {B}What's New? What's Next?}{333}{appendix.B}
\contentsline {section}{\numberline {B.1}What's New: Zelig Release Notes}{333}{section.B.1}
-\contentsline {section}{\numberline {B.2}What's Next?}{338}{section.B.2}
+\contentsline {section}{\numberline {B.2}What's Next?}{339}{section.B.2}
diff --git a/inst/unitTests/Makefile b/inst/unitTests/Makefile
new file mode 100644
index 0000000..334126c
--- /dev/null
+++ b/inst/unitTests/Makefile
@@ -0,0 +1,26 @@
+TOP=../..
+PKG=${shell cd ${TOP};pwd}
+SUITE=doRUnit.R
+R=R
+
+all: inst test demos describe
+
+inst: # Install package
+ cd ${TOP}/..;\
+ ${R} CMD INSTALL ${PKG}
+
+test: # Run unit tests
+ export RCMDCHECK=FALSE;\
+ cd ${TOP}/tests;\
+ ${R} --vanilla --slave < ${SUITE}
+
+demos: # Run all demos
+ export RCMDCHECK=FALSE;\
+ cd ${TOP}/tests;\
+ ${R} --vanilla --slave < testdemos.R
+
+describe: # test check.describe functions
+ export RCMDCHECK=FALSE;\
+ cd ${TOP}/tests;\
+ ${R} --vanilla --slave < check.describe.R
+
diff --git a/inst/unitTests/report.html b/inst/unitTests/report.html
new file mode 100644
index 0000000..15e4201
--- /dev/null
+++ b/inst/unitTests/report.html
@@ -0,0 +1,93 @@
+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
+"http://www.w3.org/TR/html4/transitional.dtd">
+<html><head><title>RUNIT TEST PROTOCOL--Wed Apr 18 12:55:50 2007</title>
+</head>
+<body><h1 TRUE>RUNIT TEST PROTOCOL--Wed Apr 18 12:55:50 2007</h1>
+<p>Number of test functions: 2</p>
+<p>Number of deactivated test functions: 1</p>
+<p>Number of errors: 0</p>
+<p>Number of failures: 0</p>
+<hr>
+<h3 TRUE>1 Test suite</h3>
+<table border="1" width="80%" >
+<tr><th width="20%">Name</th>
+<th width="20%">Test functions</th>
+<th width="20%">Deactivated</th>
+<th width="20%">Errors</th>
+<th width="20%">Failures</th>
+</tr>
+<tr><td><a href="#Zelig unit testing">Zelig unit testing</a></td>
+<td>2</td>
+<td bgcolor="yellow">1</td>
+<td>0</td>
+<td>0</td>
+</tr>
+</table>
+<hr>
+<h3 TRUE>Deactivated</h3>
+<table border="1" width="100%" >
+<tr><th width="30%">Test suite : test function</th>
+<th width="70%">message</th>
+</tr>
+<tr><td><a href="#Zelig unit testing__nfs_fs1_home_F_falimadh_work_zelig85_zelig_Zelig_tests_.._inst_unitTests_runit.multiple.R_test.process.as.factor">Zelig unit testing : test.process.as.factor</a></td>
+<td>later...when new version of parse.formula...
+</td>
+</tr>
+</table>
+<hr>
+<h3 TRUE>Details</h3>
+<p><a name="Zelig unit testing"><h5 TRUE>Test Suite: Zelig unit testing</h5>
+</a>Test function regexp: ^test.+<br/>Test file regexp: ^runit.+\.[rR]$<br/>Involved directory:<br/>/nfs/fs1/home/F/falimadh/work/zelig85/zelig/Zelig/tests/../inst/unitTests<br/><ul><li><a href="/nfs/fs1/home/F/falimadh/work/zelig85/zelig/Zelig/tests/../inst/unitTests/runit.multiple.R">Test file: runit.multiple.R</a><ul><li><a name="Zelig unit testing__nfs_fs1_home_F_falimadh_work_zelig85_zelig_Zelig_tests_.._inst_unitTests_runit.multiple.R_test.parse.formula">test.parse.formula: ... OK [...]
+<br/></li><li><a name="Zelig unit testing__nfs_fs1_home_F_falimadh_work_zelig85_zelig_Zelig_tests_.._inst_unitTests_runit.multiple.R_test.terms.multiple">test.terms.multiple: ... OK (0.54 seconds)<br/></a></li></ul></li></ul><hr>
+<table border="0" width="80%" >
+<tr><th>Name</th>
+<th>Value</th>
+</tr>
+<tr><td>platform</td>
+<td>x86_64-redhat-linux-gnu</td>
+</tr>
+<tr><td>arch</td>
+<td>x86_64</td>
+</tr>
+<tr><td>os</td>
+<td>linux-gnu</td>
+</tr>
+<tr><td>system</td>
+<td>x86_64, linux-gnu</td>
+</tr>
+<tr><td>status</td>
+<td></td>
+</tr>
+<tr><td>major</td>
+<td>2</td>
+</tr>
+<tr><td>minor</td>
+<td>4.1</td>
+</tr>
+<tr><td>year</td>
+<td>2006</td>
+</tr>
+<tr><td>month</td>
+<td>12</td>
+</tr>
+<tr><td>day</td>
+<td>18</td>
+</tr>
+<tr><td>svn rev</td>
+<td>40228</td>
+</tr>
+<tr><td>language</td>
+<td>R</td>
+</tr>
+<tr><td>version.string</td>
+<td>R version 2.4.1 (2006-12-18)</td>
+</tr>
+<tr><td>host</td>
+<td>w6.hmdc.harvard.edu</td>
+</tr>
+<tr><td>gcc</td>
+<td>g++</td>
+</tr>
+</table>
+</body>
+</html>
diff --git a/inst/unitTests/report.txt b/inst/unitTests/report.txt
new file mode 100644
index 0000000..6c0b44e
--- /dev/null
+++ b/inst/unitTests/report.txt
@@ -0,0 +1,25 @@
+RUNIT TEST PROTOCOL -- Wed Apr 18 12:55:50 2007
+***********************************************
+Number of test functions: 2
+Number of deactivated test functions: 1
+Number of errors: 0
+Number of failures: 0
+
+
+1 Test Suite :
+Zelig unit testing - 2 test functions, 0 errors, 0 failures
+
+
+
+Details
+***************************
+Test Suite: Zelig unit testing
+Test function regexp: ^test.+
+Test file regexp: ^runit.+\.[rR]$
+Involved directory:
+/nfs/fs1/home/F/falimadh/work/zelig85/zelig/Zelig/tests/../inst/unitTests
+---------------------------
+Test file: /nfs/fs1/home/F/falimadh/work/zelig85/zelig/Zelig/tests/../inst/unitTests/runit.multiple.R
+test.parse.formula: ... OK (0.08 seconds)
+test.process.as.factor : DEACTIVATED, later...when new version of parse.formula...
+test.terms.multiple: ... OK (0.54 seconds)
diff --git a/inst/unitTests/runit.multiple.R b/inst/unitTests/runit.multiple.R
new file mode 100644
index 0000000..d15d9f9
--- /dev/null
+++ b/inst/unitTests/runit.multiple.R
@@ -0,0 +1,113 @@
+.setUp <-function(){
+require(Zelig)
+}
+
+###
+## runit function for testing parse.formula()
+##
+test.parse.formula <- function(){
+ ## the TRUTH object. Put all the parsed
+ ## formulas here and save int the disk
+ parsed<-list()
+
+ data(mexico)
+ fml1<- as.factor(vote88)~pristr + othcok + othsocok
+
+ fml2 <-list(mu1 = import ~ coop,
+ mu2 = export ~ cost + target)
+
+ ##parsed$fml1<-parse.formula(fml1,model="mlogit",data=mexico)
+ ##parsed$fml2<-parse.formula(fml2,model="bprobit")
+ ##save(parsed, file="test.parse.formula.RData")
+ load("test.parse.formula.RData")
+
+ ## testing ...
+ trial.fml1<-parse.formula(fml1,model="mlogit", data=mexico)
+ checkEquals(trial.fml1,parsed$fml1)
+
+ trial.fml2<-parse.formula(fml2,model="bprobit")
+ checkEquals(trial.fml2,parsed$fml2)
+}
+
+###
+## runit function for testing terms.multiple()
+##
+test.terms.multiple<-function(){
+
+ ## list of formulas to be tested
+ listMI <- list(
+ fml1 = list(mu1 = import ~ coop, mu2 = export ~ cost + target),
+
+ fml2= list(mu = y ~ x + tag(z, gamma| state)+ tag(z2, gamma2| state),
+ gamma = ~ w1 + w2 + tag(w3,eta),
+ gamma2 = ~ w1 + w2 + tag(w3,eta)),
+
+ fml3 = y ~ x1 + x2 + tag(1 | state),
+
+ fml4 = list(mu=y ~ x1 + x2 + tag(1, gamma | state),
+ gamma = ~ 1 + z1),
+
+ fml5=y ~ x1 + x2 + tag(1, 1 + z1 | state),
+
+ fml6 = list(mu= y ~ x1 + x2 + tag(1, gamma1 | state) + tag(1, gamma2 | year),
+ gamma1 = ~1,
+ gamma2 = ~1),
+
+ fml7 = list(mu=y ~ x1 + x2 + tag(1, gamma | state),
+ gamma = ~ z1 + z2),
+
+ fml8 = y ~ x1 + x2 + tag(z1 + z2 | state),
+
+ fml9 = y ~ x1 + x2 + tag(1, z1 + z2 | state),
+
+ fml10 = list(mu=y~x1 + x2 + tag(z1, gamma | state),
+ gamma = ~ w1 + w2),
+
+ fml11 = y ~ x1 + x2 + tag(z1:w1 | state) + tag(z1:w2 | state),
+
+ fml12 = y ~ x1 + x2 + tag(z1, w1 + w2 | state),
+
+ fml13 = list(mu=y~x1 + x2 + tag(z1, gamma1 | state) + tag(z2, gamma2 | state),
+ gamma1 = ~ w1 + w2,
+ gamma2 = ~ w3 + w4),
+
+ fml14 = y ~ x1 + x2 + tag(z1:w1 | state) + tag(z1:w2 | state) + tag(z2:w3 | state) + tag(z2:w4 | state),
+
+ fml15=list(mu=y~x1 + x2 + tag(z1, gamma1 | state) + tag(z2, gamma2 | state),
+ gamma1 = ~ w1 + tag(w2,state),
+ gamma2 = ~ w3 + tag(w4,state))
+ )
+ ## the TRUTH object.
+ parsed<-list();
+ for(i in 1:length(listMI)){
+ fml<-listMI[[i]]
+ objname <- paste("fml",i,sep="")
+ this.terms <- Zelig:::terms.multiple(fml)
+ ##parsed[[objname]]<-this.terms
+ ##save(parsed,file="test.terms.multiple.RData" )
+ load("test.terms.multiple.RData")
+ checkEquals(this.terms,parsed[[objname]])
+ }
+
+}
+
+
+
+###
+## runit function for testing process_as_factor()
+## DEACTIVATED for the moment.
+##
+test.process.as.factor<-function(){
+ DEACTIVATED("later...when new version of parse.formula...")
+ ## lets create a dummy dataframe
+ dd <- matrix(1:5,3,5)
+ colnames(dd) <- c("x1", "x2", "x3", "x4", "x5")
+ dd <- as.data.frame(dd)
+ ## a formula
+ fml <- as.factor(x1) ~ x2 + x3
+ ## the result should be
+ res <-list(id(x1,"2") ~ x2 + x3,
+ id(x1,"3") ~ x2 + x3)
+ ## check it
+ checkEquals(Zelig:::process.as.factor(fml,dd),res)
+}
diff --git a/inst/unitTests/terms.multiple.RData b/inst/unitTests/terms.multiple.RData
new file mode 100644
index 0000000..5f984a8
Binary files /dev/null and b/inst/unitTests/terms.multiple.RData differ
diff --git a/inst/zideal/zideal.RData b/inst/zideal/zideal.RData
new file mode 100644
index 0000000..66af9c9
Binary files /dev/null and b/inst/zideal/zideal.RData differ
diff --git a/inst/zideal/zvcServer.R b/inst/zideal/zvcServer.R
new file mode 100644
index 0000000..04256ed
--- /dev/null
+++ b/inst/zideal/zvcServer.R
@@ -0,0 +1,1289 @@
+### DESCRIPTION: Reads all functions describe.#.R that are part of
+### Zelig package and gets all direct dependencies of Zelig
+### packages names and url's to installed them
+### Taken from Ferdi Alhimadi's code
+###
+zeligDescribeModels <- function(PKG="Zelig", baseOrRecPkgs=NULL)
+ {
+ descList <- ls(envir=asNamespace(PKG),pattern="^describe")
+ model <- NULL
+ if(length(baseOrRecPkgs) <= 0){
+ baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+ baseOrRecPkgs <- getRidVersion( baseOrRecPkgs)
+ }
+### model <- pkgDepends(PKG)$Depends
+ url <- NULL
+ for (desc in descList){
+ ## call the function which return a list
+ tmp <- do.call(desc,list(),env=asNamespace("Zelig"))
+ ## get the package name from the list (maybe CRAN too)
+ nm <- names(model)
+ tmpmodel <- tmp$package$name
+ tmpmodel <- trim.blanks(tmpmodel)
+ tmpmodel <- getRidVersion(tmpmodel, TRUE)
+ model <- c(model, tmpmodel)
+ names(model) <- c(nm,tmpmodel)
+ nmu <- names(url)
+ tmpurl <- tmp$package$CRAN
+
+ if(length(tmpurl) > 0 )
+ tmpurl <- trim.blanks(tmpurl)
+ else
+ tmpurl <- NA
+ url <- c(url,tmpurl)
+ names(url) <- c(nmu,tmpmodel)
+
+ }
+ model <- unique.default(model)
+
+ savenm <- F
+ allPkgs <- names(model)
+ if(length(allPkgs) <= 0){
+ savenm <- T
+ allPkgs <- model
+ }
+ allPkgs <- matrix(as.vector(allPkgs), ncol=1)
+ if(length(baseOrRecPkgs))
+ allPkgs <- allPkgs[!(allPkgs %in% baseOrRecPkgs)]
+ model <- allPkgs
+ if(savenm)
+ names(model) <- allPkgs
+
+ ind <- sapply(model, match, names(url))
+ if(length(ind)){
+ ind <- suppressWarnings(na.omit(unlist(ind)))
+ url <- url[ind]
+ }
+
+ lst <- c(list(model=model), list(url=url))
+ return(lst)
+ }
+
+### DESCRIPTION: Gets all the depends packages recursevely starting
+### with the input package repList as argument of the function call.
+### It obtains all dependends packages and their version numbers
+### from the description docs of the packages.
+###
+### OUTPUT: A list of two elements, the packages edges and their versions.
+### if res<- makeLinks("Zelig"), then names(res) = c(edges, vers)
+### res$edges is a list whose elements are packages names,i.e. nodes,
+### and whose values are a vector of packages names that the list node
+### depends upon; res$vers is also a list that contains the nodes of
+### res$edges but the values of the list nodes are the versions of the
+### dependencies.
+###
+### INPUT: repList the mane of a package or vector with packages names;
+### it can also be an url, in that case gets all vailable packages.
+### keep.builtin where to stop the recursion, if false it will
+### stop for the packages that are installed in the machine
+### at priority="base"; if keep.builtin is string or null
+### it stops according to the specify priority,
+### keep.builtin = "high","NA", NULL,"recommended";
+### where "high"= c("base", "recommended");
+### if keep.builtin =TRUE it continues recursively until returns nothing.
+### baseOrRecPkgs if not null it has a vector of packages and then
+### overwrites keep.builtin and stops the recursion for packages in the vector.
+### norepeat means that, for given node, packages that are listed in depends
+### and also in either imports or suggests are shown only once for depends.
+###
+###
+### USE res <- makeLinks(pkg)
+###
+### USES grep.exact, readDescription
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 12/19/2006
+###
+
+makeLinks <- function (repList, keep.builtin = FALSE,baseOrRecPkgs=NULL,norepeat=FALSE)
+{
+ iter <- 100 ### not to get into an infinite loop
+
+ fromurl <- FALSE
+ if (is.character(repList) && length(grep("http", repList)) >0)
+ pkgMatList <- lapply(repList, function(x) {
+ available.packages(contrib.url(x))
+ fromurl <- TRUE
+ })
+
+ if(length(baseOrRecPkgs) <= 0 ){
+ if(!is.logical(keep.builtin))
+ baseOrRecPkgs <- rownames(installed.packages(priority = keep.builtin))
+ else if (!keep.builtin)
+ baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+ baseOrRecPkgs <- getRidVersion( baseOrRecPkgs)
+ }
+###
+ keep.builtin <- ifelse(length(baseOrRecPkgs) >0, FALSE, TRUE)
+
+ if(is.character(repList) && fromurl){
+
+ allPkgs <- unlist(sapply(pkgMatList, function(x) rownames(x)))
+ }else if (length(repList) > 0){
+
+ allPkgs <- matrix(as.vector(repList), ncol=1)
+ }
+ if (!length(allPkgs))
+ stop("no packages in specified repositories")
+ allPkgs <- unique(allPkgs)
+ allPkgs <- unlist(sapply(allPkgs, FUN="trim.blanks"))
+ allPkgs <- sort(allPkgs)
+ basePkgs <- allPkgs
+ basePkgs <- getRidVersion(basePkgs)
+
+ if (length(allPkgs) && !keep.builtin)
+ allPkgs <- allPkgs[!(basePkgs %in% baseOrRecPkgs)]
+ if(length(allPkgs) <= 0){
+ message(basePkgs, " is part of base packages. Set keep.builtin = T")
+ return(list())
+ }
+ pkgEdges <- list()
+ pkgVers <- list()
+ pkgURL <- list()
+ pkgLevel <- list()
+ cnt=0;
+
+ Rvers <- unlist(packageDescription(basePkgs[1])$Built)
+ if(class(Rvers) == "try-error")
+ Rvers <- unlist(packageDescription(allPkgs[1])$Built)
+
+ Rvers <- trim.blanks(Rvers)
+
+ RV1 <- strsplit(sub("^R[[:space:]]*([-0-9 .]*)","\\1", Rvers), ";")[[1]][1]
+ Rvers <- trim.blanks(RV1)
+ RV2 <- strsplit(sub("^R[[:space:]]*([-[:digit:].]*)","\\1", Rvers), ";")[[1]][1]
+ RV2 <- trim.blanks(RV2)
+ RV <- strsplit(sub("^R[[:space:]]*(.*)","\\1", Rvers), ";")[[1]][1]
+ Rvers <- trim.blanks(RV)
+ if (!identical(RV1, Rvers)||!identical(RV2,Rvers ))
+ warning("Bad regx in makeLinks...check")
+### 0-9==[:digit:]
+
+
+ while(length(allPkgs)>0){
+ cnt <- cnt +1
+
+### message("counting ....")
+### print(cnt)
+ iterPkgs <- NULL
+ for(n in 1:length(allPkgs)){
+ cat(n, ": ")
+ cat(allPkgs[n],"\n")
+ pack <- allPkgs[n]
+### print(pack)
+
+ lst <- suppressWarnings(readDescription(pack, norepeat))
+### lst <- readDescription(pack, norepeat)
+
+ if(class(lst) == "try-error")
+ next;
+
+ if(length(lst$totdepend) <= 0)
+ next;
+
+ pkgNames <- lst$totdepend
+ nm <- names(pkgNames)
+ pkgNames <- getRidVersion(pkgNames)
+ names(pkgNames) <- nm
+ url <- unlist(lst$url)
+ Rvers <- unlist(lst$Rvers)
+ pkgVersions <- lst$totversion
+
+ deps <- unlist(pkgNames)
+
+
+ depsV <- unlist(pkgVersions)
+ ix <- match("R",names(depsV))
+ if(!is.na(ix))
+ depsV <- depsV[-ix]
+ ### message("Packages names...")
+ ### print(deps)
+ ### message("Packages versions...")
+ ### print(depsV)
+
+ if (length(deps) && !keep.builtin) {
+ deps <- deps[!(deps %in% baseOrRecPkgs)]
+ depsV <- depsV[!(names(depsV) %in% baseOrRecPkgs)]
+ url <- url[!(names(url) %in% baseOrRecPkgs)]
+ }
+ if(length(deps) <= 0)
+ next;
+ nm <- NULL
+ if(length(pkgEdges) > 0)
+ nm <- names(pkgEdges)
+ pkgEdges <- c(pkgEdges, list(deps))
+ names(pkgEdges) <- c(nm, pack)
+ pkgVers <- c(pkgVers, list(depsV))
+ names(pkgVers) <- c(nm, pack)
+ pkgURL <- c(pkgURL, list(url))
+ names(pkgURL) <- c(nm, pack)
+ pkgLevel <- c(pkgLevel, list(cnt))
+ names(pkgLevel) <- c(nm, pack)
+ iterPkgs <- c(iterPkgs, deps)
+
+ }
+
+ nmedge <- names(pkgEdges)
+ nmedge <- sapply(nmedge, FUN="trim.blanks")
+ countfor <- NULL
+ nmedge <- unique.default(nmedge)
+ iterPkgs <- unlist(sapply(iterPkgs, FUN="trim.blanks"))
+ iterPkgs <- unique.default(iterPkgs)
+ diffPkgs <- NULL
+ if(length(nmedge) > 0){
+ commonPkgs <- intersect(nmedge, iterPkgs)
+ diffPkgs <- setdiff(iterPkgs, nmedge)
+ diffPkgs <- unique.default(diffPkgs)
+ nmedgemo <- sapply(nmedge,function(nm) paste("^",nm,"$", sep=""))
+ ### no need to call grep.exact
+ countfor <- unlist(sapply(nmedgemo,grep,iterPkgs,extended=T))
+
+ }
+
+ if(length(countfor) > 0){
+ names(iterPkgs)[countfor] <-iterPkgs[countfor] ### packages found by grepping
+ ix <- grep.exact(iterPkgs[countfor], nmedge)$index ### eliminate not exact matches
+ if(length(ix) > 0)
+ countfor <- countfor[-ix]
+ }
+ if(length(countfor) > 0)
+ iterPkgs <- iterPkgs[-countfor]
+
+
+ if(length(diffPkgs) > 0 && length(iterPkgs) > 0
+ && any(sort(iterPkgs) != sort(diffPkgs))){
+ warning("Bad counting of packages...check code")
+ best1 <- setdiff(iterPkgs, diffPkgs)
+ best2 <- setdiff(diffPkgs, iterPkgs)
+ }
+ if(length(iterPkgs) > 0)
+ allPkgs <- iterPkgs
+ else
+ break;
+
+### message("next iteration...")
+ names(allPkgs) <- NULL
+ allPkgs <- unlist(sapply(allPkgs, FUN="trim.blanks"))
+ allPkgs <- sort(allPkgs)
+### message("What is left....")
+
+
+ if(cnt > iter) {
+ warning("Iterations limit to get the dependencies reach at..",iter)
+ break;
+ }
+ }
+
+
+### nodeDataDefaults(depG, attr = "size") <- as.numeric(NA)
+### if (dosize) {
+### sizes <- getDownloadSizesBatched(makePkgUrl(pMat))
+### nodeData(depG, n = rownames(pMat), attr = "size") <- sizes
+### }
+### print(pkgEdges)
+### print(pkgVers)
+###
+
+
+ if((length(basePkgs) <= 1 && !identical("Zelig", basePkgs))){
+ rootlst <- read.root(basePkgs)
+ pkgEdges <- c(rootlst[1], pkgEdges)
+ nm <- names(pkgEdges)
+ pkgVers <- c(rootlst[2], pkgVers)
+ names(pkgVers) <- nm
+ pkgURL <- c(rootlst[4], pkgURL)
+ names(pkgURL) <- nm
+ pkgLevel <- c(rootlst[5], pkgLevel)
+ names(pkgLevel) <- nm
+ }
+ pkgVers <- c(Rvers,pkgVers)
+ lst <- c(edges=list(pkgEdges),vers=list(pkgVers),url=list(pkgURL), level=list(pkgLevel))
+ return(lst)
+}
+
+### DESCRIPTION: helper func that gets information about packages in vector basePkgs
+### as stored in packageDescription and returns list
+### with elements of list that will be used in Zelig.
+###
+
+read.root <- function(basePkgs){
+ alledge <- NULL
+ allvers <- NULL
+ allnode <- NULL
+ allurl <- NULL
+ nm <- names(basePkgs)
+ basePkgs <- getRidVersion(basePkgs)
+ names(basePkgs) <- nm
+ for(pack in basePkgs){
+
+ lst <- try(packageDescription(pack), silent=TRUE)
+ vers <- lst$Version
+ Rbuilt <- lst$Built
+ Rbuilt <- trim.blanks(Rbuilt)
+ ###trying different ways for regex; they should all give same result
+ RV1 <- strsplit(sub("R[[:space:]]*([0-9 .]*)","\\1", Rbuilt), ";")[[1]][1]
+ RV1 <- trim.blanks(RV1)
+ RV2 <- strsplit(sub("R[[:space:]]*([[:digit:].]*)","\\1", Rbuilt), ";")[[1]][1]
+ RV2 <- trim.blanks(RV2)
+ RV <- strsplit(sub("R[[:space:]]*(.*)","\\1", Rbuilt), ";")[[1]][1]
+### print(RV)
+ Rvers <- trim.blanks(RV)
+ if(!identical(RV1, Rvers) || !identical(RV2, Rvers))
+ warning("Bad regex in read.root...check")
+
+ Rvers <- paste("R", Rvers)
+ Rvers <- trim.blanks(Rvers)
+ url <- lst$URL
+
+ if(length(url) <= 0 )url <- "CRAN"
+ if( is.na(url)) url <- "CRAN"
+
+ alledge <- c(alledge, pack)
+ names(alledge) <- rep("depends", length(alledge))
+ allvers <- c(allvers, vers)
+
+ allnode <- c(allnode, Rvers)
+
+ allurl <- c(allurl,url)
+
+ }
+
+ names(allvers) <- alledge
+ names(allurl) <- alledge
+
+ allnode <- unique.default(allnode)
+ mxR <- sort(allnode)[1]
+ redge <- c(list(alledge), list(allvers), list(allnode), list(allurl), list("0"))
+ names(redge) <- c(mxR, "vers", "node", "url", "level")
+
+
+ return(redge)
+
+
+ }
+### DESCRIPTION: helper function to makeLinks; it reads the package
+### description and returns dependencies (i.e. depends, imports, suggests)
+### of derived packages, the url's to download dependent packages and R version
+### INPUT: name of a package
+###
+
+readDescription <- function(pack,norep){
+### Get rid of leading a trailing white spaces
+
+ nm <- names(pack)
+ pack <- suppressWarnings(trim.blanks(pack))
+ packno <- pack
+ if(length(grep("_", pack)) > 0){
+ packno <- sub("(.*)_([-0-9.]*)","\\1", packno)
+ packno <- suppressWarnings(trim.blanks(packno))
+ names(packno) <- nm
+ }
+
+ lst0 <- try(packageDescription(packno), silent=TRUE)
+
+ if(class(lst0) == "try-error")
+ lst0 <- try(packageDescription(pack), silent=TRUE)
+### print(lst$Package)
+### print(lst$Version)
+ if(class(lst0) == "try-error")
+ return;
+
+ depends <- lst0$Depends
+ Rvers <- NA
+ dependsV <- NULL
+ if(length(depends) > 0){
+
+ dependslst <- sapply(strsplit(depends,",")[[1]], FUN="trim.blanks")
+
+ lst <- find.names.vers(dependslst)
+
+ depends <- unlist(lst$pkgnames)
+ dependsV <- unlist(lst$pkgnumbers)
+ Rvers <- try(dependsV["R"], silent=T)
+ ix <- match("R", depends)
+ ixg <- grep("^R", depends, extended=T)
+ if(length(ixg)> 1)
+ warning("check readDescription")
+
+ if(!is.na(ix))
+ depends <- depends[-ix]
+ ix <- try(match("R", names(dependsV)), silent=T)
+
+ if(!is.na(ix))
+ dependsV <- dependsV[-ix]
+
+ }
+
+
+ rdep <- trim.blanks(lst0$Built)
+
+
+ if(!is.logical(Rvers) && length(rdep) > 0 && rdep != ""){
+### RV <- strsplit(sub("R[[:space:]]*([0-9 .]*)","\\1", rdep), ";")[[1]][1]
+ RV <- strsplit(sub("R[[:space:]]*(.*)","\\1", rdep), ";")[[1]][1]
+### print(RV)
+ Rvers <- trim.blanks(RV)
+
+ }
+
+### print(depends)
+ suggests <- lst0$Suggests
+ suggestsV <- NULL
+ if(!is.null(suggests)){
+
+ suggestslst <- unlist(sapply(strsplit(suggests,",")[[1]], FUN="trim.blanks"))
+ lst <- find.names.vers(suggestslst)
+ suggests <- lst$pkgnames
+ suggestsV <- lst$pkgnumbers
+ ind <- na.omit(unlist(sapply(depends,match,suggests)))
+ ind1 <- na.omit(unlist(sapply(depends,match,names(suggestsV))))
+ ### package are shown under any category if repeated when norep=F
+
+
+ if(length(unlist(ind)) > 0 && !norep)
+ suggests <- suggests[-ind]
+ if(length(unlist(ind1)) > 0 && norep)
+ suggestsV <- suggests[-ind1]
+
+ }
+
+ imports <- lst0$Imports
+ importsV <- NULL
+ if(length(imports)>0){
+
+ importslst <- unlist(sapply(strsplit(imports,",")[[1]], FUN="trim.blanks"))
+ lst <- find.names.vers(importslst)
+ imports <- lst$pkgnames
+ importsV <- lst$pkgnumbers
+
+ ind <- na.omit(unlist(sapply(depends,match,imports)))
+ ind1 <- na.omit(unlist(sapply(depends,match,names(importsV))))
+
+### package are shown under any category if repeated and norep =F
+
+ if(length(unlist(ind1)) > 0 && !norep)
+ importsV <- imports[-ind1]
+ if(length(unlist(ind)) > 0 && !norep)
+ imports <- imports[-ind]
+
+ ind <- na.omit(unlist(sapply(suggests,match,imports)))
+ ind1 <- na.omit(unlist(sapply(suggests,match,names(importsV))))
+
+ if(length(unlist(ind1)) > 0 && !norep)
+ importsV <- imports[-ind1]
+ if(length(unlist(ind)) > 0 && !norep)
+ imports <- imports[-ind]
+
+ }
+
+ if(length(depends) <= 0 && length(suggests) <= 0 && length(imports) <= 0)
+ return(list());
+
+ allpkg <- c(depends, imports, suggests)
+ allvers <- c(dependsV, importsV, suggestsV)
+
+ dep <- rep("depends",length(depends))
+ if(length(depends) > 0)
+ names(depends) <- dep
+ sgg <- rep("suggests",length(suggests))
+ if(length(suggests) > 0)
+ names(suggests) <- sgg
+ imp <- rep("imports",length(imports))
+ if(length(imports) > 0)
+ names(imports) <- imp
+
+ totdepend <- c(depends,imports, suggests)
+ if(length(totdepend) <= 0){
+ lst <- c(Rvers=list(Rvers))
+ return(lst)
+ }
+
+ url <- sapply(allpkg, function(pkg)
+ {
+ nm <- packageDescription(pkg)$URL
+ if(length(nm) > 0)
+ nm <- trim.blanks(nm)
+
+ if(length(nm) <= 0)
+ nm <- "CRAN"
+
+ return(nm)
+ })
+
+### print(totdepend)
+ lst <- c(totdepend =list(totdepend), totversion = list(allvers),
+ url=list(url), Rvers=list(Rvers))
+ return(lst)
+}
+### DESCRIPTION: helper function to makeLinks & readDescription; it reads the package
+### description and returns the name, version # of pkgs in dependlst
+###
+### INPUT: dependlst a list with the string return from one of: dependlst =
+### packageDescription(pkg)$Depends, packageDescription(pkg)$Imports
+### packageDescription(pkg)$Suggests
+###
+###
+### OUTPUT: names and version numbers for the packages in dependlst
+###
+ find.names.vers <- function(dependslst){
+
+ depends <- suppressWarnings(unlist(sapply(dependslst, FUN="trim.blanks")))
+ tag <- "([[:alnum:]_ .]*)[[:space:]]*([-\\(<>= .[:alnum:][:space:]\\)]*)"
+
+ ### from packages.dependencies (library tools):
+ ### pat <- "^([^\\([:space:]]+)[[:space:]]*\\(([^\\)]+)\\).*"
+
+ pkgnames <- sapply(depends, function(nm) {
+ res <- sub(tag,"\\1", nm)})
+ names(pkgnames) <- NULL
+ pkgnames <- suppressWarnings(sapply(pkgnames, FUN="trim.blanks"))
+ names(pkgnames) <- pkgnames
+ ind <- 1:length(dependslst)
+ names(ind) <- pkgnames
+ pkgnumbers <- sapply(ind, function(n){
+ dep <- dependslst[n]
+ pk <- pkgnames[n]
+ names(pk) <- NULL
+ if(suppressWarnings(identical(pk,"R"))){
+ names(dep) <- NULL
+ res <- sub(tag,"\\2", dep)
+ res <- suppressWarnings(trim.blanks(res))
+ pat <- "[-\\(<>= [:space:]]*([0-9.]*)[\\)]*"
+ res <- sub(pat,"\\1",res)
+ return(res)
+ }
+ desc <- NULL
+ names(pk) <- NULL
+ if(!suppressWarnings(identical(pk, "R"))){
+
+ desc <- try(packageDescription(pk), silent=TRUE)
+ }
+ nm <- NULL
+ nm0 <- nm
+ if(class(desc)!="try-error" && length(desc) > 0)
+ nm0 <- try(desc$Version, silent=TRUE)
+
+ if(class(nm0)!="try-error" && length(nm0) > 0)
+ nm <- trim.blanks(nm0)
+
+ if(length(nm) <= 0 || nm=="" ) nm <- NA
+ return(nm)})
+
+ lst <- c(list(pkgnames=pkgnames), list(pkgnumbers=pkgnumbers))}
+
+
+
+trim.blanks <- function(x) {
+### at the beginning of string"^" gets anny number (+) of white spaces
+ f <- x
+ if(length(x))
+ f <- na.omit(x)
+
+ if(length(f) <= 0)
+ return(x)
+ if(length(f)>1)
+ print(f)
+ if(f=="" )
+ return(x)
+ x <- sub("^[[:space:]]*(.*)", "\\1",x) ###get \n\t
+ x <- sub('^ +', '', x) ###get white spaces
+
+### at the ending of string"$" gets anny number (+) of white spaces
+
+ x <- sub("(.*)[[:space:]]*$", "\\1", x)
+ x <- sub(' +$', '', x)
+ return(x)
+ }
+
+###
+### DESCRIPTION: Creates list with packages that are in input list edge
+### List elements are vectors with the package name,
+### its version and the parent. For every package in
+### edge, finds out the version stored in vers and the parent,
+### which is the name of the list element the package belongs to
+###
+### INPUT: The list output of function makeLinks
+### lstoutput <- makeLinks("Zelig")
+###
+### OUTPUT: A list of packages, whose values is a vector of three values
+### First, the package name with any of the tags depends, suggests
+### and imports as name of the vector component. Second, the version
+### of the package and third the parent it was derived from.
+###
+### USE: lst the output of makeLinks, then
+### res <- reverseLinks(lstoutput <- makeLinks(pkg))
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/11/2007
+###
+
+reverseLinks <- function(lstoutput){
+ edge <- lstoutput$edges
+ if(length(edge) <= 0)
+ stop(paste("No leaves for ", lstoutput))
+
+ vers <- lstoutput$vers
+ urls <- lstoutput$url
+ level <- sapply(lstoutput$level, as.numeric)
+ mxlevel <- max(unlist(level))
+
+ cnt <- length(edge)
+ nmpkg <- names(edge)
+ outlst <- list()
+ inc <- 0
+ if(length(vers) > length(edge)) inc <- 1
+
+ while(cnt > 0){
+
+ pkgs <- edge[[cnt]]
+ nm <- nmpkg[cnt]
+ pkgV <- vers[[cnt+inc]]
+ pkgU <- urls[[cnt]]
+ ind <- as.list(1:length(pkgs))
+ depth <- level[[cnt]]
+ ### print(depth)
+
+ lst <- lapply(ind, function(n){
+ pkg <- pkgs[n]
+ ver <- pkgV[n]
+ url <- pkgU[n]
+ ### print(url)
+ names(ver) <- NULL
+ names(url) <- NULL
+ ret <- c(pkg, vers=ver, parent=nm, URL=url, depth=depth)
+ })
+
+ nmlst <- names(outlst)
+ outlst <- c(outlst, lst)
+ names(outlst) <- c(nmlst, nm)
+ cnt = cnt -1;
+
+ }
+ vec <- sapply(outlst, function(m) m[1])
+ names(outlst) <- vec
+ return(outlst)
+
+}
+
+###
+### DESCRIPTION: Creates matrix with packages that are input list lst
+### List elements are vectors with the package name,
+### its version and the parent. Unlist the input lst
+### and form a matrix, which every row the package name, version, parent
+### and type of dependency (depends, imports, suggests).
+###
+### INPUT: list lst that is the output of function reverseLinks
+### Each element is a package and the value is the version and parent
+###
+### OUTPUT: Dependency matrix similar to available.packages.
+### Rows for every package; columns the name, version, parent
+### and type of dependency from parent description.
+###
+### USE: mat <- listomat( res <- reverseLinks(res <- makeLinks(package)))
+###
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/11/2007
+###
+listomat <- function(lst){
+
+ rw <- length(lst)
+### print(lst)
+ if(length(lst) <=0)
+ stop(paste("No leaves for ", lst))
+
+ if(length(lst) <= 1){
+ mat <- as.matrix(lst[[1]])
+ mat <- t(mat)
+ }else {
+ cl <- length(lst[[1]])
+ mat <- matrix(unlist(lst), ncol=cl, byrow=T)
+ }
+
+ colnames(mat) <- c("Package", "Version", "Node", "URL", "Depth")
+ matdepth <- mat[,5]
+ maturl <- mat[, 4]
+ mat <- mat[,1:3 ]
+
+ nm <- names(lst[[1]])
+ nm <- c(nm, "Relation")
+ nm[1] <- "Package"
+ vec <- sapply(lst, function(m) names(m)[1])
+
+ if(length(dim(mat)) > 0)
+ mat <- cbind(mat, Relation=vec, URL=maturl, depth=matdepth)
+ else{
+ names(vec) <- NULL
+ mat <- c(mat, Relation=vec, URL=maturl, depth=matdepth)
+ }
+ mat <- clean.sweep(mat)
+
+ return(mat)
+}
+
+###DESCRIPTION: Utility function to remove trailing white spaces
+
+ clean.sweep <- function(mat){
+ if(length(dim(mat))>0){
+ nm <- colnames(mat)
+ mat <- apply(mat,2, function(cl) {sapply(cl, FUN="trim.blanks")})
+ rownames(mat) <- mat[,"Package"]
+ colnames(mat) <- nm
+ return(mat)
+ }
+ nm <- names(mat)
+ mat <- unlist(sapply(mat,FUN="trim.blanks"))
+ names(mat) <- nm
+ return(mat)
+ }
+
+### DESCRIPTION: Utility function to check the results of applying grep
+### grep may not get the exact full name but uses a loose
+### regex to get all names that contains the input words
+### For example grep("abc", c("abc", "pab", "dabcm", "clr, "abc""))
+### will return 1, 3, 5. This function eliminates 3, counting characters
+### NOTE: no need to apply this function if you use grep with extended=TRUE
+### grep("^describe$", c("describe", "le describe", "desc", "describeport"), extended=T)
+### gets only [1] 1
+###
+### NOTE: match will get the exact full string and will dismiss anything
+### that is not an exact match: match("abc", "pabcm")=NA; however,
+### it only finds the first occurance,
+### i.e. match("abc",c("pabcqr", "abc", "lmn","vabc","abc"))= 2
+### Same as grep("^abc$", c("pabcqr", "abc", "lmn","vabc","abc"), extended=T)
+###
+### USES: grep
+###
+### INPUT: matinst <- grep.exact(); outcome a vector of character
+### we want to check for correctness.
+### input is another vector of the strings
+### that need to be found in the outcome.
+###
+### OUTPUT: It checks that outcome and input contain the same values
+### and eliminate those that are not exact match between outcome and input.
+### Returns outcome with all not exact matches eliminated; and
+### index ix of the strins that were eliminated from the
+### original outcome.
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/24/2007
+###
+ grep.exact <- function(outcome, input){
+ ind <- 1:length(outcome)
+ names(ind) <- outcome
+
+ ix <- sapply(ind, function(n){
+ ret <- NULL
+ if(length(outcome[n]) <= 0)
+ return(ret)
+ nm <- trim.blanks(outcome[n])
+ pkg <- trim.blanks(input[n])
+
+ if(nchar(nm) != nchar(pkg))
+ ret <- n
+ return(ret)})
+ ix <- unlist(ix)
+ if(length(ix) > 0)
+ outcome <- outcome[-ix]
+ lst <- list(list(outcome=outcome), list(index=ix))
+ return(lst)
+ }
+### DESCRIPTION: Utility function to create a matrix with packages
+### that are in one of the describe.#.R functions of Zelig
+### Columns are package name, version, R or Zelig dependency,
+### relation and URL
+###
+### USES: packageDescription
+###
+### INPUT: vector with packages names
+### cran is string with the URL of the pkg obtained from describe.#
+###
+### OUTPUT: Matrix of dependencies and versions.
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/31/2007
+###
+pkgZeligDescribe <- function(pkg,cran){
+
+ pkg <- unlist(suppressWarnings(sapply(pkg, FUN="trim.blanks")))
+ zelig <- pkg[length(pkg)]
+ #####R Version under which packages in pkg were built #####
+ pkgV <- sapply(pkg, function(p){
+ desc <- packageDescription(p)$Version})
+
+ pkgV <- unlist(pkgV)
+ pkgUrl <- sapply(pkg, function(p){
+
+ url <- packageDescription(p)$URL
+ url <- trim.blanks(url)
+ if(length(url) <= 0)
+ url <- "CRAN"
+ else if(is.na(url) || identical(url,"") )
+ url <- "CRAN"
+ return(url)
+ })
+ pkgUrl.old <- unlist(pkgUrl)
+ ln <- length(pkgUrl.old)
+
+### as per Ferdi's last advised (02/15/2007) use information
+### in the describe.#.R funcs for the URL of packages
+ zeligurl <- pkgUrl.old[ln]
+ pkgUrl <- c(cran, Zelig=zeligurl)
+
+ pkgUrl[is.na(pkgUrl)] <- "CRAN"
+
+ matadd <- matrix(NA, nrow=length(pkg), ncol=5)
+
+ for(n in 1:length(pkg)){
+
+ vec <- pkg[n]###1st col: package name
+ vec <- c(vec,pkgV[n])###2nd col: package version
+ if(n == nrow(matadd)){
+ rdep <- packageDescription(pkg[n])$Built
+ rdep <- strsplit(sub("(R[-0-9 .]*)","\\1", rdep), ";")[[1]][1]
+ vec <- c(vec, rdep)
+ }else
+ vec <- c(vec,zelig)### 3rd col: Zelig
+ vec <- c(vec,"depends")### 4th col: relation
+ vec <- c(vec,pkgUrl[n]) ### 5th col: URL
+ if(length(vec) > 0)
+ matadd[n,] <- vec
+
+ }
+
+ rownames(matadd) <- pkg
+### end of R version######
+
+ colnames(matadd) <- c("Package", "Version", "Node", "Relation", "URL")
+
+
+ return(matadd)
+}
+### DESCRIPTION first level dependencies (depends, imports, suggests)
+### of Zelig as obtained from packageDescription, no recursion
+###
+### USES: readDescription
+###
+### INPUT: name of package, and boolean keep.builtin to discard or
+### not to discard base packages that comes with R version
+### baseOrRecPkgs vector of packages not included in output
+### norepeat only includes packages once for given node
+### (see makeLinks)
+###
+### OUTPUT: matrix with information of first level dependencies
+###
+ZeligfstLevel <- function(pkg0, keep.builtin,baseOrRecPkgs, norepeat){
+
+ fstlevel <- readDescription(pkg0,norepeat)
+ pkgfst <- unlist(fstlevel$totdepend)
+ fstnames <- names(pkgfst)
+ urlfst <- unlist(fstlevel$url)
+ names(urlfst) <- fstnames
+ fstvers <- fstlevel$totversion
+ names(fstvers) <- pkgfst
+ matdev <- NULL
+ if(length(pkgfst) <= 0) return(matdev)
+
+ if(length(baseOrRecPkgs) <= 0){
+ if(!is.logical(keep.builtin))
+ baseOrRecPkgs <- rownames(installed.packages(priority = keep.builtin))
+ else if(!keep.builtin)
+ baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+ baseOrRecPkgs <- getRidVersion(baseOrRecPkgs)
+ }
+ keep.builtin <- ifelse(length(baseOrRecPkgs) >0, FALSE, TRUE)
+
+ pkgfst <- pkgfst[!(pkgfst %in% baseOrRecPkgs)]
+ if(length(pkgfst) <= 0) return(matdev)
+ fstnames <- names(pkgfst)
+ fstvers <- fstvers[!(names(fstvers) %in% baseOrRecPkgs)]
+ urlfst <- urlfst[!(names(urlfst) %in% baseOrRecPkgs)]
+
+ matdev <- matrix(NA, nrow=length(pkgfst), ncol=5)
+ colnames(matdev) <- c("Package", "Version", "Node", "Relation", "URL")
+ for(m in (1:length(pkgfst)))
+ matdev[m, ] <- c(pkgfst[m],fstvers[m], pkg0, fstnames[m],urlfst[m] )
+
+ rownames(matdev) <- pkgfst
+
+ return(matdev)
+}
+### DESCRIPTION Helper function. If the package have attached the version number
+### it removes them.Example, "YourCast_2.9-8" becomes "YourCast"
+###
+getRidVersion <- function(zmat, oneonly=FALSE){
+ nm <- NULL
+
+ if(oneonly && length(grep("_", zmat)) <= 0)
+ return(zmat)
+ else if(oneonly){
+ nm <- sub("(.*)_([-0-9.]*)","\\1", zmat)
+ nm <- trim.blanks(nm)
+ return(nm)
+ }
+
+ if(length(dim(zmat)) <= 0 || dim(zmat)[1] <=1){
+ pkginst <- zmat["Package"]
+
+ }else{
+ pkginst <- zmat[,"Package"]
+ }
+
+ pkginst <- sapply(pkginst, function(nm){
+ if(length(grep("_", nm)) <= 0)
+ return(nm)
+ nm <- sub("(.*)_([-0-9.]*)","\\1", nm)
+ nm <- trim.blanks(nm)
+ })
+
+ pkginst <- unlist(pkginst)
+ if(length(dim(zmat)) <= 0|| dim(zmat)[1] <=1){
+ zmat["Package"] <- pkginst
+
+ }else{
+
+ zmat[,"Package"] <- pkginst
+ rownames(zmat) <- zmat[,"Package"]
+
+
+ }
+ return(zmat)
+}
+
+
+
+###
+###
+### DESCRIPTION: Returns/Creates matrix of details corresponding to packages
+### Zelig depends on directly or indirectly and are installed
+### in the server where Zelig runs.
+### Level of dependency is depends, imports, suggests.
+### Every row describes a dependent package with the name,
+### the version, the parent package and the relation to the parent.
+###
+### USES: makeLinks,reverseLinks,listomat,zeligDescribeModels,ZeligfstLevel
+###
+### USE: mat <- create.zelig.all.packages(pkg)
+### Even when this function is specifically written to return
+### the matrix of Zelig dependencies, it may be used for
+### any other packages.
+###
+### INPUT: the package name pkg, boolean zdescribe (default true);
+### if it is Zelig and zdescribe=T, then calls zeligDescribeModels
+### that returns a list of packages;
+### keep.builtin where to stop the recursion. If false it stops
+### for packages that are installed in the machine at priority="base",
+### if true it will continue recursively to all dependencies levels.
+### If keepbuiltin is a character string then it will set priority
+### of installed.packages to the string value of keep.builtin.
+### norepeat boolean indicating if from a given node the descendants
+### are repeated if they appear simultaneously in, depends, suggests, imports.
+### showurl, boolean to display the urls as in packageDescription or not.
+###
+### OUTPUT: Dependency matrix similar to available.packages.
+### Rows for each package that Zelig depends;
+### columns the name, version, parent
+### and type of relation (dependency) from parent description.
+###
+### AUTHOR Elena Villalon
+### evillalon at iq.harvard.edu
+###
+### Last modified: 01/12/2007
+###
+create.zelig.all.packages <- function(pkg="Zelig", zdescribe=TRUE, keep.builtin = FALSE,
+ norepeat=FALSE, showurl=FALSE)
+{
+ ### pkg <- trim.blanks(pkg)
+ pkg0 <- pkg
+ baseOrRecPkgs <- NULL
+ matzelig <- NULL
+
+
+ if(length(baseOrRecPkgs) <= 0 ){
+ if(!is.logical(keep.builtin))
+ baseOrRecPkgs <- rownames(installed.packages(priority = keep.builtin))
+ else if (!keep.builtin)
+ baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+ baseOrRecPkgs <- getRidVersion( baseOrRecPkgs)
+ }
+ keep.builtin <- ifelse(length(baseOrRecPkgs) >0, FALSE, TRUE)
+
+###specific to Zelig: include all models in functions describe.R
+ cran <- NULL
+ if(identical(pkg, "Zelig") && zdescribe){
+ zpack <- zeligDescribeModels(PKG=pkg, baseOrRecPkgs)
+ pkg <- c(zpack$model, pkg)
+ cran <- c(zpack$url, cran)
+ }
+###specific to Zelig:include first level dependencies of Zelig
+
+ if(identical(pkg0, "Zelig")){
+ pkgz <- NULL
+ matzelig <- ZeligfstLevel(pkg0,keep.builtin, baseOrRecPkgs,norepeat)
+
+ if(length(matzelig) > 0)
+ pkgz <- rownames(matzelig)
+ matadd <- pkgZeligDescribe(pkg,cran)
+ lnz <- dim(matzelig)
+ lnz <- ifelse(length(lnz) > 0,lnz[1],1)
+ if(!length(matzelig)) lnz <- 0
+
+ lnf <- dim(matadd)
+ lnf <- ifelse(length(lnf) > 0,lnf[1],1)
+ if(!length(matadd)) lnf <- 0
+
+ matzelig <- rbind(matzelig, matadd)
+ clnm <- colnames(matzelig)
+ vlevz <- NULL
+ vlevf <- NULL
+ if(lnz) vlevz <- rep("1", lnz)
+ if(lnf) vlevf <- rep("1z",lnf)
+ depth <- c(vlevz, vlevf)
+
+ matzelig <- cbind(matzelig, depth)
+
+ ind <- match("Zelig", matzelig[,1])
+ if(!is.na(ind)) matzelig[ind, "depth"] <- "0"
+ pkg <- pkg[-length(pkg)]
+ pkg <- c(pkg, pkgz)
+ }
+
+
+### valid for Zelig or any other package
+
+ res <- makeLinks(pkg,keep.builtin, baseOrRecPkgs,norepeat)
+
+
+ if(length(res$edges) <= 0)
+ return(matzelig)
+ edge <- res$edges
+ vers <- res$vers
+
+ ### edge is a list with the direct dependencies of Zelig
+ ### and any of the packages derived from Zelig dependencies
+ ### edge corresponds to nodes and the edges in graph theory
+ ### The list names are the nodes or packages names.
+ ### The list elements are the direct dependencies of the nodes
+ ### vers is the same list as edge but instead of
+ ### of the package names it has their versions
+ ### or NA if not provided in the description of each package
+ ### The first list element of vers is the R version, the rest
+ ### of the elements map one to one with those in edge.
+ ### URL are the websites to get the packages as in package Description
+ ### depth the level of graphs (or dependencies) with root starting at 0
+
+ lst <- reverseLinks(res)
+
+### print(lst)
+ ### it is a list with every element a package and
+ ### the value is the name, version, parent, and relation to parent
+ if(length(unlist(lst)) <= 0)
+ return(matzelig)
+
+ mat <- listomat(lst)
+ add <- F
+
+ if(length(dim(mat)) <= 0){ ### only one row
+ nmadd <- mat[1]
+ add <- T
+ }
+ ### converts the list return with reverseLinks into a matrix
+ ### colnames(mmm) =
+ ### "Package" "Version" "Node" "Relation", "URL", "depth"
+ pkg <- sapply(pkg,FUN="trim.blanks")
+
+
+ if(identical(pkg0, "Zelig")){
+ if(length(dim(mat)) > 0)
+ mat[,"depth"] <- as.numeric(mat[,"depth"]) + 1
+ else
+ mat["depth"] <- as.numeric(mat["depth"]) + 1
+ }
+
+ mat <- rbind(mat, matzelig)
+
+ if(add)
+ rownames(mat)[1] <- nmadd
+ ix <- match("URL", colnames(mat))
+
+ if(!showurl && !identical(pkg0,"Zelig"))
+ mat <- mat[,-ix]
+
+ if(!showurl &&identical(pkg0,"Zelig") ){
+ ixz <- grep("^1z$", mat[, "depth"], extended=T)
+
+ if (length(ixz) >0){
+ nr <- nrow(mat[-ixz, ])
+ mat[-ixz, "URL"] <- rep("CRAN", nr)
+ } else
+ mat <- mat[, -ix]
+
+ }
+ if(!identical(pkg0,"Zelig")){
+ vec <- addzerodepth(pkg0,colnames(mat))
+ rnm <- rownames(mat)
+ mat <- rbind(mat, vec)
+ nm <- mat[,"Package"]
+ rownames(mat) <- nm
+ }
+
+
+ return(mat)
+}
+
+###DESCRIPTION : If no Zelig add a bottom row with the root pkg information
+ addzerodepth <- function(pkg,cols){
+ pkg <- trim.blanks(pkg)
+ pkg0 <- pkg
+ if(length(grep("_", pkg)) > 0){
+ pkg <- sub("(.*)_([-0-9.]*)","\\1", pkg0)
+ pkg <- trim.blanks(pkg)
+ }
+ lst <- try(packageDescription(pkg), silent=T)
+ if(class(lst) =="try-error")
+ lst <- try(packageDescription(pkg0), silent=T)
+ if(class(lst) =="try-error")
+ return(list())
+ rdep <- lst$Built
+ rdep <- strsplit(sub("(R[-0-9 .]*)","\\1", rdep), ";")[[1]][1]
+ vec <- c(pkg,lst$Version, rdep, "depends")
+ if(length(cols) > 5)
+ vec <- c(vec, "CRAN","0")
+ else
+ vec <- c(vec, "0")
+ names(vec) <- cols
+ return(vec)
+}
+### DESCRIPTION Apply the function create.zelig.all.packages
+### to all packages in the system as obtained from
+### mat <-installed.packages().
+### Gets pkgs names as mat[,1]
+###
+### USES installed.packages,create.zelig.all.packages
+###
+### OUTPUT a list with matrices, each matrix has the dependencies
+### of the packages in the system. Eliminates erros.
+###
+### 02/14/2007
+###
+testall <- function(prior=NULL){
+ localinst <- installed.packages(prior)
+ str <- " "
+ res <- lapply(localinst[,1], function(nm) {
+ res0 <- NULL
+ res <- try(create.zelig.all.packages(nm))
+ if(class(res)!="try-error")
+ return(res)
+ else{
+ message("Error pkg ", nm)
+ str <- paste(str, nm)
+
+ return(res0)
+ }})
+
+ return(invisible(res))
+}
+### DESCRIPTION:Takes the list output of testall and finds the dimensions
+### of all the matrix elements in the list,e.g. rows and columns
+
+dimtestall <- function(lst=NULL){
+ if (length(lst) <= 0)
+ lst <- testall()
+ ret <- lapply(lst, dim)
+}
+ind.null <- function(d=NULL){
+ if(length(d) <= 0)
+ d <- dimtestall(outp <- testall())
+ ix <- sapply(d,is.null)
+ return(ix)
+}
+
+### DESCRIPTION: Same as testall but the list element output for pkgs
+### with errors messages is the name of the package
+### instead of NULL for that element.
+### If erroronly=T, then it calls
+### testerror(lst <- testinst(erroronly=T))
+###
+testinst <- function(prior=NULL, erroronly=F){
+ localinst <- installed.packages(prior)
+ res <- lapply(localinst[,1], function(nm) {
+ res0 <- nm
+ print(nm)
+ res <- try(create.zelig.all.packages(nm))
+ if(class(res)!="try-error")
+ return(res)
+ else{
+ message("Error pkg ", nm)
+ return(res0)
+ }})
+}
+### DESCRIPTION: Uses the list output of testinst and eliminates
+### packages that do not produce errors' messages
+### It returns the list of packages with errors.
+### The errors may be due to packages in
+### baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+###
+testerror <- function(lst=NULL){
+ if(length(lst) <= 0)
+ lst <- testinst()
+ error <- sapply(lst, function(mat) {
+ ret <- NULL
+ if(length(mat) == 1)
+ return(mat)
+ else
+ return(ret)})
+ error <- unlist(error)
+ return(error)
+
+}
+### Eliminates null values from the list=lst
+### lst <- testall()
+getNull <- function(lst=NULL){
+ if(!length(lst))
+ lst <- testall()
+
+ ixnull <- unlist(sapply(lst,is.null))
+ if(length(ixnull)){
+ print(names(lst)[ixnull])
+ lst <- lst[!ixnull]
+ }
+ return(lst)
+
+}
+checkspaces <- function(allpkg){
+ res <- lapply(allpkg, function(mat) {
+ rw <- rownames(mat)
+ spc <- sapply(rw, function(nm){ grep("[[:space:]]", nm, extended=T)})
+ spc <- unlist(spc)
+ })
+return(res)
+}
+### err <- testerror(outp <- testinst())
+###
+### "base" "boot" "class" "cluster" "datasets"
+### "foreign" "graphics" "grDevices" "grid" "httpRequest"
+### "KernSmooth" "lattice" "MASS" "methods" "mgcv"
+### "nlme" "nnet" "rpart" "spatial" "splines"
+### "stats" "stats4" "survival" "tcltk" "tools"
+### "utils"
+###
+### Total : 26 packages, with 25 of them in baseOrRecPkgs.
+### Note: All errors pkgs are in baseOrRecPkgs <- rownames(installed.packages(priority = "base"))
+### except for "httpRequest", with fields
+### packageDescription("httpRequest")$Depends, Imports, Suggests = NULL
+### > dim(zmatrecm)= 21 6
+### > dim(zmat)= 18 6
+### > dim(zmatbase)= 18 6
+### > dim(zmatnull)= 50 6
+### > dim(zmathigh)= 9 6
+### > dim(zmatNA) = 38 6
diff --git a/man/house.Rd b/man/house.Rd
deleted file mode 100644
index 29d6e33..0000000
--- a/man/house.Rd
+++ /dev/null
@@ -1,30 +0,0 @@
-\name{house}
-
-\alias{house}
-
-\title{Elections to the United States House of Representatives}
-
-\description{
- This data set contains data on the 1984 and 1986 elections for the US
-House of Representatives. }
-
-\usage{data(house)}
-
-\format{
- A table containing 12 variables and 320 observations. Districts that
-were uncontested were omitted from the final data.
-}
-
-\source{ICPSR}
-
-\references{
- Andrew Gelman and Gary King. ``Estimating Incumbency Advantage Without
- Bias.'' American Journal of Political Science 34 (1990), 1142-1164.
-
- King, Gary. ICPSR Publication Related Archive, 6311.
-
-}
-
-\keyword{datasets}
-
-
diff --git a/tests/Rplots.ps b/tests/Rplots.ps
new file mode 100644
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+/ps 12 def /Font1 findfont 12 s
+43.92 172.80 (Density) .5 0 90 t
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+0.7451 0.7451 0.7451 rgb
+0.08 setlinewidth
+[] 0 setdash
+1 setlinecap
+1 setlinejoin
+10.00 setmiterlimit
+np
+75.60 82.79 m
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+77.04 91.44 743.76 239.76 cl
+ep
+%%Trailer
+%%Pages: 31
+%%EOF
diff --git a/tests/check.describe.R b/tests/check.describe.R
new file mode 100644
index 0000000..9198026
--- /dev/null
+++ b/tests/check.describe.R
@@ -0,0 +1,93 @@
+###
+## check the correctness of the describe.mymodel functions
+##
+
+
+check.describe<-function(mymodel){
+ firstLvlNames<-c("category","description","package","parameters")
+ fn <- paste("describe.", mymodel, sep = "")
+
+ if (!exists(fn,env=asNamespace("Zelig")))
+ stop("The function describe.",mymodel," does not exist")
+ z<-do.call(fn,list(),env=asNamespace("Zelig"))
+
+ ##any extra name in the list??
+ whiche<-which(!(names(z) %in% firstLvlNames))
+ if (length(whiche)!=0){
+ tmpstr<-names(z)[[whiche[[1]]]]
+ if(length(whiche)>1)
+ for(i in 2:length(whiche))
+ tmpstr<-paste(tmpstr,names(z)[[whiche[[i]]]],sep=",")
+ stop ("Unknown names in your list: ",tmpstr)
+ }
+ errmsg<-" is missing. It's required ..."
+ if(is.null(z$category))
+ stop("\"category\"", errmsg)
+ else
+ if(!(z$category %in% names(Zelig:::categories())))
+ stop("unknown category \"",z$category, "\"")
+ if(is.null(z$parameters)) stop("\"parameters\"",errmsg)
+
+ for (i in length(z$parameters)){
+ eqns<-z$parameters[[i]]$equations
+ if(is.null(eqns)) stop("\"equations\"",errmsg)
+ if(length(eqns)!=2) stop("equations must be an vector of length 2")
+ if(!(eqns[[2]] <= 999 || !(is.finite(eqns[[2]]))) ) stop("The maximum number of equations for each paramter should be <=999 or \"Inf\"..")
+
+ tags<-z$parameters[[i]]$tagsAllowed
+ if (is.null(tags)) stop ("\"tagsAllowed\"",errmsg)
+ if(!is.logical(tags)) stop("\"tagsAllowed\" must have a logical value (\"TRUE\" or \"FALSE\")")
+
+ dep<-z$parameters[[i]]$depVar
+ if (is.null(dep)) stop ("\"depVar\"",errmsg)
+ if(!is.logical(dep)) stop("\"depVar\" must have a logical value (\"TRUE\" or \"FALSE\")")
+
+ exp<-z$parameters[[i]]$expVar
+ if (is.null(exp)) stop ("\"expVar\"",errmsg)
+ if(!is.logical(exp)) stop("\"expVar\" must have a logical value (\"TRUE\" or \"FALSE\")")
+
+ tags<-z$parameters[[i]]$tagsAllowed
+ if (is.null(tags)) stop ("\"tagsAllowed\"",errmsg)
+ if(!is.logical(tags)) stop("\"tagsAllowed\" must have a logical value (\"TRUE\" or \"FALSE\")")
+ }
+
+ cat("\"",fn, "\" passed the test\n")
+ return (fn)
+}
+
+###
+## get all the models name
+##
+
+zeligListModels<-function() {
+ tmp = ls(envir=asNamespace("Zelig"),pattern="^zelig2")
+
+ ## describe function for this models does not exists
+ ## just for testing purpuses i'm excluding them. <FIXME> urgent
+ #nonexist <- c("arima","beta", "ei.dynamic","ei.hier","ei.RxC","mloglm","netlogit","netls")
+ #setdiff(sub("zelig2","", tmp),nonexist)
+}
+
+###
+## check if all models have proper describe function
+##
+
+checkDescribe <- function(){
+ loosers <- c()
+ listOfModels <- zeligListModels()
+ for (mymodel in listOfModels){
+ mymodel<-sub("^zelig2","",mymodel)
+ tmp<- try(check.describe(mymodel), silent=TRUE)
+ if (inherits(tmp,"try-error")) {
+ loosers <- c(loosers,tmp)
+ }
+ }
+ return (loosers)
+}
+
+## when source, this is the function wich will be executed
+res <- checkDescribe()
+if (length(res)>0) {
+ stop("the above models have no mymodel.describe() function os that function did not paseed the test")
+} else
+print ("describe.* functions OK ...")
diff --git a/tests/doRUnit.R b/tests/doRUnit.R
new file mode 100644
index 0000000..7a4aacc
--- /dev/null
+++ b/tests/doRUnit.R
@@ -0,0 +1,39 @@
+if(require("RUnit", quietly=TRUE)) {
+
+ wd <- getwd()
+ pkg <- basename(sub(pattern="tests$", replacement="", wd))
+ ## Path for standalone i.e. not by R CMD check testing
+ if(Sys.getenv("RCMDCHECK") == "FALSE") {
+ path <- file.path("..", "inst")
+ } else {
+ pkg <- sub(pattern="\.Rcheck$", replacement="", pkg)
+ path <- file.path("..", pkg)
+ }
+ path <- file.path(wd, path, "unitTests")
+ pathReport <- file.path(path, "report")
+
+ library(package=pkg, character.only=TRUE)
+
+ ## --- Testing ---
+
+ ## Define tests
+ testSuite <- defineTestSuite(name=paste(pkg, "unit testing"),
+ dirs=path)
+ ## Run
+ tests <- runTestSuite(testSuite)
+
+ ## Print results
+ printTextProtocol(tests)
+ printTextProtocol(tests, fileName=paste(pathReport, ".txt", sep=""))
+
+ ## Print HTML version to a file
+ printHTMLProtocol(tests, fileName=paste(pathReport, ".html", sep=""))
+
+ ## Return stop() if there are any failures i.e. FALSE to unit test.
+ ## This will cause R CMD check to return error and stop
+ if(getErrors(tests)$nFail > 0) {
+ stop("one of unit tests failed")
+ }
+
+}
+
diff --git a/tests/test.parse.formula.RData b/tests/test.parse.formula.RData
new file mode 100644
index 0000000..42bda4b
Binary files /dev/null and b/tests/test.parse.formula.RData differ
diff --git a/tests/test.terms.multiple.RData b/tests/test.terms.multiple.RData
new file mode 100644
index 0000000..a8b2b25
Binary files /dev/null and b/tests/test.terms.multiple.RData differ
diff --git a/tests/testdemos.R b/tests/testdemos.R
new file mode 100644
index 0000000..5b6a50b
--- /dev/null
+++ b/tests/testdemos.R
@@ -0,0 +1,87 @@
+## This is a script to test all the demos in the zelig's demo directory.
+## It opens a connection to each demo file,manipulate the script (i.e.
+## commenting 'user.prompt()' etc. and then run it
+##
+## NOTE: The idea is to make this process as silent as possible.
+## invisible() will work for model's output but not for some R messages
+## (i.e. require(VGAM) or library(VGAM) will still give some warnnings)
+## To avoid those warnings one can use library(VGAM,warn.conflicts=FALSE)
+## or require(VGAM, warn.conflicts=FALSE) This could be fixed when we
+## change zelig2* functions. Which means that we are not going to use
+## require(...) in each zelig2* but in one central function which gets
+## the info. on which packages to load by looking at describe.mymodel
+## function.
+## 03/23/2007 - look at the package "seesion"; maybe smth interesting..?
+##
+## some helping functions
+
+"%w/o%" <- function(x,y) x[!x %in% y]
+
+## get the path of zelig's demo directory
+zpath<- system.file(package="Zelig")
+zpath<-paste(zpath,"/demo/",sep="")
+
+## get the file list of all demos
+demoFiles<- list.files(zpath,pattern="\\.[RrSsQq]$")
+
+## Keep a list of demos which failed
+demoFail <- c()
+
+require(Zelig)
+
+## process each demo
+##for(demo in c("ls.R","blogit.R","ei.dynamic.R")){
+for(demo in demoFiles){
+ ## list of attached packages before this demo is run
+ beforePkgs <- search()
+ beforeLs <- ls()
+ print(demo)
+
+ ## if file does not exists, we dont have demo for this file
+ ## so add it to the list of non-working demos and go to the
+ ## next demo
+ if (!file.exists(paste(zpath,demo,sep=""))){
+ demoFail <- c(demoFail, demo)
+ next
+ }
+
+ ## open a connection to the file and read all the lines
+ con <- file(paste(zpath,demo,sep=""),"r")
+ lines<- readLines(con)
+
+ ## find all the lines starting with zero or more spaces
+ ## then 'user.prompt()' and comment them out
+ newlines<-gsub('^ *user',"##user",lines)
+
+ ## try to run the edited demo. "invisible" is uded to make it quiet
+ res=try(invisible(capture.output(eval(parse(text=newlines)))))
+ if (inherits(res,"try-error")) {
+ demoFail <- c(demoFail,demo)
+ }
+
+ ## close the connection
+ close(con)
+
+ ## running this demo may have attached some
+ ## packages. Let's detach them
+ afterPkgs <- search()
+ pkgToDetach <- afterPkgs %w/o% beforePkgs
+ for ( pkg in pkgToDetach){
+ ## you cant use simple detach(pkg) here
+ ## see examples on ?detach
+ detach(pos=match(pkg,search()))
+ }
+ afterLs <-ls()
+
+ ## Clean up all the objects
+ rm(list = (afterLs %w/o% beforeLs))
+
+}
+
+## just print the list of demos which failed
+if (length(demoFail) > 0){
+ cat ("The following demos failed:\n")
+ print (demoFail)
+} else {
+ cat ("SUCCESS, all demos run sucessfully \n")
+}
--
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