[r-cran-zelig] 70/102: Import Upstream version 3.4-6
Andreas Tille
tille at debian.org
Sun Jan 8 16:59:48 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 89d4ebe32f6ee12bc1b29daab2262300f9890a41
Author: Andreas Tille <tille at debian.org>
Date: Sun Jan 8 09:40:11 2017 +0100
Import Upstream version 3.4-6
---
DESCRIPTION | 8 +-
NAMESPACE | 5 +
R/describe.mloglm.R | 18 -
R/describe.quantile.R | 17 +
R/describe.rq.R | 17 +
R/load.first.R | 1 -
R/param.rq.R | 12 +
R/qi.rq.R | 51 +
R/setx.rq.R | 8 +
R/setx.rq.process.R | 3 +
R/setx.rqs.R | 12 +
R/sim.setx.rqs.R | 20 +
R/summary.zelig.rqs.strata.R | 8 +
R/zelig2mloglm.R | 7 -
R/zelig2quantile.R | 20 +
R/zelig2rq.R | 20 +
R/zelig3quantile.R | 26 +
R/zelig3rq.R | 26 +
demo/00Index | 1 +
demo/quantile.R | 83 +
inst/doc/Rplots.pdf | 119345 ++++++++++--------
inst/doc/aov.pdf | Bin 161157 -> 160927 bytes
inst/doc/arima.pdf | Bin 122626 -> 122596 bytes
inst/doc/blogit.pdf | Bin 142996 -> 143543 bytes
inst/doc/bprobit.pdf | Bin 146610 -> 145780 bytes
inst/doc/chopit.pdf | Bin 108147 -> 108150 bytes
inst/doc/cloglog.net.pdf | Bin 105403 -> 105543 bytes
inst/doc/commands/matchit.aux | 44 +-
inst/doc/commands/model.end.aux | 36 -
inst/doc/commands/model.frame.multiple.aux | 36 -
inst/doc/commands/model.matrix.multiple.aux | 36 -
inst/doc/commands/parse.formula.aux | 36 -
inst/doc/commands/parse.par.aux | 36 -
inst/doc/commands/print.aux | 18 +-
inst/doc/commands/put.start.aux | 36 -
inst/doc/commands/set.start.aux | 36 -
inst/doc/commands/tag.aux | 45 -
inst/doc/commandsRd/MatchIt.url.pdf | Bin 19835 -> 19835 bytes
inst/doc/commandsRd/PErisk.pdf | Bin 39064 -> 42385 bytes
inst/doc/commandsRd/PErisk.tex | 22 +-
inst/doc/commandsRd/SupremeCourt.pdf | Bin 29057 -> 32093 bytes
inst/doc/commandsRd/SupremeCourt.tex | 2 +-
inst/doc/commandsRd/Weimar.pdf | Bin 26822 -> 26823 bytes
inst/doc/commandsRd/Zelig-package.pdf | Bin 45419 -> 48561 bytes
inst/doc/commandsRd/Zelig-package.tex | 12 +-
inst/doc/commandsRd/Zelig.pdf | Bin 39854 -> 42889 bytes
inst/doc/commandsRd/Zelig.tex | 4 +-
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inst/doc/commandsRd/approval.pdf | Bin 24300 -> 24300 bytes
inst/doc/commandsRd/bivariate.pdf | Bin 31498 -> 31497 bytes
inst/doc/commandsRd/coalition.pdf | Bin 33859 -> 33859 bytes
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inst/doc/commandsRd/current.packages.tex | 2 +-
inst/doc/commandsRd/dims.pdf | Bin 35302 -> 38310 bytes
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inst/doc/commandsRd/gsource.pdf | Bin 40822 -> 43843 bytes
inst/doc/commandsRd/gsource.tex | 2 +-
inst/doc/commandsRd/help.zelig.pdf | Bin 30266 -> 33291 bytes
inst/doc/commandsRd/help.zelig.tex | 4 +-
inst/doc/commandsRd/hoff.pdf | Bin 33560 -> 33561 bytes
inst/doc/commandsRd/homerun.pdf | Bin 35939 -> 35939 bytes
inst/doc/commandsRd/immigration.pdf | Bin 33047 -> 33049 bytes
inst/doc/commandsRd/klein.pdf | Bin 27451 -> 27588 bytes
inst/doc/commandsRd/klein.tex | 2 +-
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inst/doc/commandsRd/macro.pdf | Bin 32666 -> 32665 bytes
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inst/doc/commandsRd/match.data.tex | 6 +-
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inst/doc/commandsRd/mi.tex | 4 +-
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inst/doc/commandsRd/model.end.pdf | Bin 33169 -> 36194 bytes
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inst/doc/commandsRd/parse.formula.tex | 30 +-
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inst/doc/commandsRd/parse.par.tex | 6 +-
inst/doc/commandsRd/plot.ci.pdf | Bin 49347 -> 52455 bytes
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inst/doc/commandsRd/plot.surv.pdf | Bin 49227 -> 52240 bytes
inst/doc/commandsRd/plot.surv.tex | 2 +-
inst/doc/commandsRd/plot.zelig.pdf | Bin 37279 -> 40300 bytes
inst/doc/commandsRd/plot.zelig.tex | 4 +-
inst/doc/commandsRd/put.start.pdf | Bin 31202 -> 34229 bytes
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inst/doc/commandsRd/repl.pdf | Bin 46353 -> 49374 bytes
inst/doc/commandsRd/repl.tex | 4 +-
inst/doc/commandsRd/rocplot.pdf | Bin 47244 -> 50271 bytes
inst/doc/commandsRd/rocplot.tex | 4 +-
inst/doc/commandsRd/sanction.pdf | Bin 31271 -> 31270 bytes
inst/doc/commandsRd/set.start.pdf | Bin 40054 -> 43078 bytes
inst/doc/commandsRd/set.start.tex | 6 +-
inst/doc/commandsRd/setx.pdf | Bin 52232 -> 55272 bytes
inst/doc/commandsRd/setx.tex | 4 +-
inst/doc/commandsRd/sim.pdf | Bin 66677 -> 66605 bytes
inst/doc/commandsRd/sim.tex | 4 +-
inst/doc/commandsRd/sna.ex.pdf | Bin 22894 -> 22889 bytes
inst/doc/commandsRd/summary.zelig.pdf | Bin 37088 -> 40816 bytes
inst/doc/commandsRd/summary.zelig.tex | 4 +-
inst/doc/commandsRd/swiss.pdf | Bin 29902 -> 29901 bytes
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inst/doc/commandsRd/ternarypoints.pdf | Bin 32055 -> 35080 bytes
inst/doc/commandsRd/ternarypoints.tex | 4 +-
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inst/doc/commandsRd/user.prompt.pdf | Bin 32191 -> 35208 bytes
inst/doc/commandsRd/user.prompt.tex | 2 +-
inst/doc/commandsRd/voteincome.pdf | Bin 31099 -> 31100 bytes
inst/doc/commandsRd/zeligDepStatus.pdf | Bin 44752 -> 44750 bytes
inst/doc/commandsRd/zeligDepUpdate.pdf | Bin 50245 -> 50245 bytes
inst/doc/commandsRd/zeligVDC.pdf | Bin 46661 -> 46663 bytes
inst/doc/coxph.pdf | Bin 187434 -> 186886 bytes
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inst/doc/mloglm.Rnw | 123 -
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inst/doc/negbin.pdf | Bin 114237 -> 114282 bytes
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inst/doc/probit.survey.Rnw | 18 +-
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inst/doc/quantile.Rnw | 341 +
inst/doc/quantile.pdf | Bin 0 -> 165167 bytes
inst/doc/refman.tex | 1 -
inst/doc/relogit.pdf | Bin 145756 -> 145938 bytes
inst/doc/rq.Rnw | 332 +
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inst/doc/static/Zcommands.pdf | Bin 161745 -> 161745 bytes
inst/doc/static/acknowledgments.pdf | Bin 29823 -> 29825 bytes
inst/doc/static/addingModels.pdf | Bin 88545 -> 88544 bytes
inst/doc/static/describemymodel.pdf | Bin 56584 -> 56585 bytes
inst/doc/static/faq.pdf | Bin 104843 -> 104841 bytes
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inst/doc/static/install.pdf | Bin 98303 -> 98297 bytes
inst/doc/static/matchitref.pdf | Bin 92662 -> 92665 bytes
inst/doc/static/newModels.pdf | Bin 136419 -> 136417 bytes
inst/doc/static/programmingstatements.pdf | Bin 66461 -> 66461 bytes
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inst/doc/sur.pdf | Bin 99328 -> 99329 bytes
inst/doc/threesls.pdf | Bin 135634 -> 136062 bytes
inst/doc/tobit.bayes.pdf | Bin 103643 -> 103646 bytes
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inst/doc/twosls.pdf | Bin 160864 -> 160393 bytes
inst/doc/vigpics/aov-ExamplesPlot1.eps | 792 +-
inst/doc/vigpics/aov-ExamplesPlot1.pdf | 1050 +-
inst/doc/vigpics/aov-ExamplesPlot2.eps | 1299 +-
inst/doc/vigpics/aov-ExamplesPlot2.pdf | 2017 +-
inst/doc/vigpics/aov-ExamplesPlot3.eps | 898 +-
inst/doc/vigpics/aov-ExamplesPlot3.pdf | 1084 +-
inst/doc/vigpics/arima-Example1Plot.eps | 275 +-
inst/doc/vigpics/arima-Example1Plot.pdf | 270 +-
inst/doc/vigpics/arima-Example2Plot.eps | 856 +-
inst/doc/vigpics/arima-Example2Plot.pdf | 1198 +-
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inst/doc/vigpics/blogit-BasicExamplePlot.eps | 2334 +-
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inst/doc/vigpics/bprobit-BasicExamplePlot.eps | 2498 +-
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inst/doc/vigpics/bprobit-JointEstimationPlot.eps | 1217 +-
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inst/doc/vigpics/gamma_gee-ExamplePlot.eps | 1546 +-
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inst/doc/vigpics/gammasurvey-ExistingPlot.eps | 2136 +-
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inst/doc/vigpics/gammasurvey-ReplicatePlot.eps | 2225 +-
inst/doc/vigpics/gammasurvey-ReplicatePlot.pdf | 3110 +-
inst/doc/vigpics/lmmixed-ExamplesPlot.eps | 98 +-
inst/doc/vigpics/lmmixed-ExamplesPlot.pdf | 28 +-
inst/doc/vigpics/logit-ExamplePlot.eps | 65 +-
inst/doc/vigpics/logit-ExamplePlot.pdf | 28 +-
inst/doc/vigpics/logit-FirstDifferencesPlot.eps | 118 +-
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inst/doc/vigpics/logit-ROCPlot.eps | 45 +-
inst/doc/vigpics/logit-ROCPlot.pdf | 28 +-
inst/doc/vigpics/logit_gee-ExamplePlot.eps | 38 +-
inst/doc/vigpics/logit_gee-ExamplePlot.pdf | 24 +-
inst/doc/vigpics/logit_gee-FirstDifferencePlot.eps | 97 +-
inst/doc/vigpics/logit_gee-FirstDifferencePlot.pdf | 26 +-
inst/doc/vigpics/logitnet-007.eps | 71 +-
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inst/doc/vigpics/logitsurvey-ExistingPlot.eps | 126 +-
inst/doc/vigpics/logitsurvey-ExistingPlot.pdf | 30 +-
inst/doc/vigpics/logitsurvey-ReplicatePlot.eps | 120 +-
inst/doc/vigpics/logitsurvey-ReplicatePlot.pdf | 30 +-
inst/doc/vigpics/lognormal-ExamplePlot.eps | 85 +-
inst/doc/vigpics/lognormal-ExamplePlot.pdf | 28 +-
inst/doc/vigpics/ls-DummyPlot.eps | 59 +-
inst/doc/vigpics/ls-DummyPlot.pdf | 26 +-
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inst/doc/vigpics/lsnet-ExamplesPlot.eps | 67 +-
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inst/doc/vigpics/mlogit-LevelsTernaryPlot.eps | 46 +-
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inst/doc/vigpics/mlogit-TernaryPlot.eps | 46 +-
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inst/doc/vigpics/negbin-Example1Plot.eps | 622 +-
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inst/doc/vigpics/poissonsurvey-ReplicatePlot.eps | 102 +-
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.../doc/vigpics/probit_gee-FirstDifferencePlot.eps | 97 +-
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inst/doc/vigpics/probitsurvey-ReplicatePlot.eps | 120 +-
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inst/doc/whatsnew.tex | 9 +-
inst/doc/zelig.html | 3 +-
inst/doc/zelig.pdf | 106975 +++++-----------
inst/doc/zelig.tex | 2 +-
inst/doc/zeligmodels.html | 3 +-
355 files changed, 169802 insertions(+), 186489 deletions(-)
diff --git a/DESCRIPTION b/DESCRIPTION
index d634c9a..1ee0c52 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,10 +1,10 @@
Package: Zelig
-Version: 3.4-5
-Date: 2009-03-13
+Version: 3.4-6
+Date: 2009-05-22
Title: Everyone's Statistical Software
Author: Kosuke Imai <kimai at Princeton.Edu>,
Gary King <king at harvard.edu>,
- Olivia Lau <olau at fas.harvard.edu>
+ Olivia Lau <olivia.lau at post.harvard.edu>
Maintainer: Kosuke Imai <kimai at Princeton.Edu>
Depends: R (>= 2.6.0), MASS, boot
Description: Zelig is an easy-to-use program that can estimate, and
@@ -25,4 +25,4 @@ URL: http://gking.harvard.edu/zelig
Suggests: VGAM (>= 0.7-5), MCMCpack (>= 0.8-2), mvtnorm, survival,
sandwich (>= 2.1-0), zoo (>= 1.5-0), coda, nnet, sna, gee,
systemfit, mgcv, lme4, anchors (>= 2.0), survey
-Packaged: Fri Mar 13 10:20:49 2009; king
+Packaged: 2009-05-22 20:16:55 UTC; king
diff --git a/NAMESPACE b/NAMESPACE
index 99bb787..4e4fa6c 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -116,6 +116,7 @@ S3method(sim, coxph)
S3method(sim, eiRxC)
S3method(sim, counter)
S3method(sim, setx.MI)
+S3method(sim, setx.rqs)
S3method(sim, setx.strata)
S3method(sim, zaovlist)
S3method(sim, eiRxC)
@@ -127,6 +128,9 @@ S3method(setx, gam)
S3method(setx, noX)
S3method(setx, MI)
S3method(setx, netglm)
+S3method(setx, rq)
+S3method(setx, rq.process)
+S3method(setx, rqs)
S3method(setx, strata)
S3method(setx, relogit2)
S3method(setx, zaovlist)
@@ -146,6 +150,7 @@ S3method(summary, relogit2)
S3method(summary, setx.cond)
S3method(summary, setx)
S3method(summary, zelig.strata)
+S3method(summary, zelig.rqs.strata)
S3method(summary, MCMCZelig)
S3method(summary, zelig)
S3method(summary, vglm)
diff --git a/R/describe.mloglm.R b/R/describe.mloglm.R
deleted file mode 100644
index a003123..0000000
--- a/R/describe.mloglm.R
+++ /dev/null
@@ -1,18 +0,0 @@
-describe.mloglm<-function(){
-category <- "multinomial"
-description <- "Multinomial Log-Linear Regression for Contingency Table Models"
-authors <- c()
-year <- 2007
-package <-list( name ="nnet",
- version ="0.6"
- )
-
-parameters<-list(mu="mu")
-parameters$mu<-list(equations=c(1,1),
- tagsAllowed=FALSE,
- depVar=TRUE,
- expVar=TRUE
- )
-
-list(category = category, authors = authors, year = year,description=description,package=package,parameters=parameters)
-}
diff --git a/R/describe.quantile.R b/R/describe.quantile.R
new file mode 100644
index 0000000..493a112
--- /dev/null
+++ b/R/describe.quantile.R
@@ -0,0 +1,17 @@
+describe.quantile <- function(){
+ category <- "continuous"
+ description <- "Quantile Regression for Continuous Dependent Variables"
+ authors <- c("Alexander D'Amour")
+ year <- 2008
+ package <- list( name ="quantreg",
+ version ="4.26"
+ )
+ parameters <- list(xi="xi")
+ parameters$xi <- list(equations=c(1,1),
+ tagsAllowed=FALSE,
+ depVar=TRUE,
+ expVar=TRUE
+ )
+
+ list(category = category, authors = authors, year = year, description = description, package = package, parameters=parameters)
+}
diff --git a/R/describe.rq.R b/R/describe.rq.R
new file mode 100644
index 0000000..aef5c34
--- /dev/null
+++ b/R/describe.rq.R
@@ -0,0 +1,17 @@
+describe.rq <- function(){
+ category <- "continuous"
+ description <- "Quantile Regression for Continuous Dependent Variables"
+ authors <- c("Alexander D'Amour")
+ year <- 2008
+ package <- list( name ="quantreg",
+ version ="4.26"
+ )
+ parameters <- list(xi="xi")
+ parameters$xi <- list(equations=c(1,1),
+ tagsAllowed=FALSE,
+ depVar=TRUE,
+ expVar=TRUE
+ )
+
+ list(category = category, authors = authors, year = year, description = description, package = package, parameters=parameters)
+}
diff --git a/R/load.first.R b/R/load.first.R
index a6b1bbf..414926d 100644
--- a/R/load.first.R
+++ b/R/load.first.R
@@ -22,7 +22,6 @@
require(MASS)
if(!any(search()=="package:boot"))
require(boot)
- options(digits = 4)
library.dynam("stats")
## add viggnettes menu
diff --git a/R/param.rq.R b/R/param.rq.R
new file mode 100644
index 0000000..d3fc1e9
--- /dev/null
+++ b/R/param.rq.R
@@ -0,0 +1,12 @@
+param.rq <- function(object, num, bootstrap=FALSE){
+ if (!bootstrap){
+ rq.sum <- summary.rq(object, cov=TRUE, se=object$se)
+ coef <- mvrnorm(num, mu=object$coef, Sigma=rq.sum$cov)
+ }
+
+ else {
+ coef <- object$coef
+ }
+ res <- coef
+ res
+}
diff --git a/R/qi.rq.R b/R/qi.rq.R
new file mode 100644
index 0000000..d5159b5
--- /dev/null
+++ b/R/qi.rq.R
@@ -0,0 +1,51 @@
+qi.rq <- function(object, simpar, x, x1=NULL, y=NULL) {
+ tau <- object$tau
+ eps <- .Machine$double.eps^(2/3)
+ data <- eval(object$call$data, environment(object$terms))
+ n <- nrow(data) #grab to determine optimal bandwidth for sparsity estimation
+
+ k <- length(getcoef(object))
+ coef <- simpar[,1:k]
+ if(k < ncol(x))
+ x <- as.data.frame(x[,names(coef(object)),drop=FALSE])
+
+ ev <- coef %*% t(x)
+ qi <- list(ev=ev)
+ qi$pr <- qi$ev
+ qi.name <- list(ev=paste("Expected Quantile Values: Q(tau=",tau,"|X)"))
+
+ #Estimate sparsity to get variance estimate for fundamental uncertainty
+ #Approximates using a difference estimate
+ h <- bandwidth.rq(tau, n) #estimate optimal bandwidth for sparsity
+ if(tau+h > 1) stop("tau+h > 1. Sparsity estimate failed. Please specify a tau closer to 0.5")
+ if(tau-h < 0) stop("tau-h < 1. Sparsity estimate failed. Please specify a tau cloer to 0.5")
+ beta_high <- rq(object$formula, data=data, tau=tau+h)$coef
+ beta_low <- rq(object$formula, data=data, tau=tau-h)$coef
+ F_diff <- x %*% (beta_high-beta_low)
+ if(any(F_diff <= 0))
+ warning(paste(sum(F_diff <= 0), "density estimates were non-positive. Predicted values will likely be non-sensical."))
+ f <- pmax(0, (2*h)/(F_diff-eps)) #Includes machine error correction as per summary.rq for nid case
+
+ #Use asymptotic approximation of Q(tau|X,beta) distribution
+ for(i in 1:nrow(ev))
+ #Asymptotic distribution as per Koenker 2005 _Quantile Regression_ p. 72
+ qi$pr[i,] <- rnorm(length(ev[i,]), mean=ev[i,], sqrt((tau*(1-tau)))/(f*sqrt(n)))
+ qi.name$pr <- paste("Predicted Quantile Values: Q(tau=",tau,"|X)")
+ if(!is.null(x1)){
+ if(k < ncol(x1))
+ x1 <- as.data.frame(x1[,names(coef(object)),drop=FALSE])
+ ev1 <- coef %*% t(x1)
+ qi$fd <- ev1-ev
+ qi.name$fd <- paste("First Differences in Expected Quantile Values: Q(tau=",tau,"|X1)-Q(tau=",tau,"|X)")
+ }
+
+ if(!is.null(y)){
+ stop("Conditional inference is not supported in rq.")
+ #yvar <- matrix(rep(y, nrow(simpar)), nrow=nrow(simpar), byrow=TRUE)
+ #qi$att.ev <- matrix(apply(yvar-qi$ev, 1, mean), nrow=(simpar))
+ #qi$att.pr <- matrix(apply(yvar-qi$pr, 1, mean), nrow=(simpar))
+ #qi.name$att.ev <- paste("Average Treatment Effect for the Treated: Y - Expected Q(tau=",tau,"|X)")
+ #qi.name$att.pr <- paste("Average Treatment Effect for the Treated: Y - Predicted Q(tau=",tau,"|X)")
+ }
+ list(qi=qi, qi.name=qi.name)
+}
diff --git a/R/setx.rq.R b/R/setx.rq.R
new file mode 100644
index 0000000..02e4ed2
--- /dev/null
+++ b/R/setx.rq.R
@@ -0,0 +1,8 @@
+setx.rq <- function(object, fn=list(numeric=mean, ordered=median, other=mode), data=NULL, cond=FALSE, counter=NULL, ...) {
+ mc <- match.call(expand.dots=T)
+ env <- parent.frame()
+ if(cond==TRUE)
+ stop("Conditional prediction is not supported for quantile regression. Please set cond=FALSE.")
+ mc[[1]] <- setx.default
+ return(eval(mc, env=env))
+}
diff --git a/R/setx.rq.process.R b/R/setx.rq.process.R
new file mode 100644
index 0000000..46f1198
--- /dev/null
+++ b/R/setx.rq.process.R
@@ -0,0 +1,3 @@
+setx.rq.process <- function(object, ...){
+ stop("Zelig does not support inference on rq.process objects. Please rerun zelig setting tau to a value or values on the interval [0,1]")
+}
diff --git a/R/setx.rqs.R b/R/setx.rqs.R
new file mode 100644
index 0000000..a3bf13c
--- /dev/null
+++ b/R/setx.rqs.R
@@ -0,0 +1,12 @@
+setx.rqs <- function(object, ...){
+ x <- vector("list", length(object$tau))
+ object <- stratify.rqs(object)
+ mc <- match.call(expand.dots=T)
+ mc[[1]] <- setx.rq
+ for(i in 1:length(object)){
+ x[[i]] <- eval(mc,env = parent.frame())
+ }
+ names(x) <- names(object)
+ class(x) <- c("setx.rqs", "data.frame")
+ return(x)
+}
diff --git a/R/sim.setx.rqs.R b/R/sim.setx.rqs.R
new file mode 100644
index 0000000..fe5110f
--- /dev/null
+++ b/R/sim.setx.rqs.R
@@ -0,0 +1,20 @@
+sim.setx.rqs <- function(object, x, x1=NULL, num= c(1000, 100), bootstrap=FALSE, ...){
+ if (length(num)==2) {
+ if(!bootstrap)
+ num <- num[1]
+ else
+ num <- num[2]
+ }
+ res <- list()
+ object <- stratify.rqs(object)
+ N <- length(object)
+ lev <- names(object)
+ for(i in 1:length(lev)) {
+ numN <- round(num/N)
+ res[[i]] <- sim(object[[i]], x=x[[i]], x1=x1[[i]], num=numN,
+ bootstrap=bootstrap, ...)
+ }
+ class(res) <- "zelig.rqs.strata"
+ names(res) <- lev
+ res
+}
diff --git a/R/summary.zelig.rqs.strata.R b/R/summary.zelig.rqs.strata.R
new file mode 100644
index 0000000..6a85386
--- /dev/null
+++ b/R/summary.zelig.rqs.strata.R
@@ -0,0 +1,8 @@
+summary.zelig.rqs.strata <- function(object, subset=NULL, CI=95,
+ stats=c("mean", "sd", "min", "max"),...)
+{
+ class(object) <- "zelig.strata"
+ if(is.null(subset))
+ subset <- rq
+ summary(object, subset, CI, stats)
+}
diff --git a/R/zelig2mloglm.R b/R/zelig2mloglm.R
deleted file mode 100644
index 94141cc..0000000
--- a/R/zelig2mloglm.R
+++ /dev/null
@@ -1,7 +0,0 @@
-zelig2mloglm <- function(formula, model, data, M, ...) {
- mf$model <- mf$M <- mf$... <- NULL
- require(nnet)
- mf[[1]] <- nnet::multinom
- mf$Hess <- TRUE
- as.call(mf)
-}
diff --git a/R/zelig2quantile.R b/R/zelig2quantile.R
new file mode 100644
index 0000000..3d3eb9a
--- /dev/null
+++ b/R/zelig2quantile.R
@@ -0,0 +1,20 @@
+zelig2quantile <- function(formula, model, data, M, ...) {
+ mf <- match.call(expand.dots=TRUE)
+ tau <- mf$tau
+ if(is.null(tau))
+ mf$tau<- tau <- 0.5
+
+# if(length(tau) > 1)
+# stop("Zelig does not yet support multiple quantile estimates. Please provide only one value for tau on the interval [0,1].")
+# if(any(tau < 0) || any(tau > 1))
+# stop("Zelig does not support solutions over the full set of quantiles. Please specify tau on the interval [0,1].")
+
+ mf$model <- FALSE
+ mf$se <- NULL #This gets handled by zelig3rq
+ mf$M <- NULL
+ if (is.character(mf$weights))
+ mf$weights <- as.name(mf$weights)
+
+ mf[[1]] <- rq
+ as.call(mf)
+}
diff --git a/R/zelig2rq.R b/R/zelig2rq.R
new file mode 100644
index 0000000..4e41fb1
--- /dev/null
+++ b/R/zelig2rq.R
@@ -0,0 +1,20 @@
+zelig2rq <- function(formula, model, data, M, ...) {
+ mf <- match.call(expand.dots=TRUE)
+ tau <- mf$tau
+ if(is.null(tau))
+ mf$tau<- tau <- 0.5
+
+# if(length(tau) > 1)
+# stop("Zelig does not yet support multiple quantile estimates. Please provide only one value for tau on the interval [0,1].")
+# if(any(tau < 0) || any(tau > 1))
+# stop("Zelig does not support solutions over the full set of quantiles. Please specify tau on the interval [0,1].")
+
+ mf$model <- FALSE
+ mf$se <- NULL #This gets handled by zelig3rq
+ mf$M <- NULL
+ if (is.character(mf$weights))
+ mf$weights <- as.name(mf$weights)
+
+ mf[[1]] <- rq
+ as.call(mf)
+}
diff --git a/R/zelig3quantile.R b/R/zelig3quantile.R
new file mode 100644
index 0000000..fcd62ca
--- /dev/null
+++ b/R/zelig3quantile.R
@@ -0,0 +1,26 @@
+zelig3quantile <- function(res, fcall = NULL, zcall = NULL) {
+ se <- eval(zcall$se)
+ if(!is.null(se) && se=="rank"){
+ warning("Rank test inversion is incompatible with estimation of the covariance matrix. Switching se method to \"nid\".")
+ se <- "nid"
+ }
+ else if(is.null(se))
+ se <- "nid"
+ res$se <- se
+ res
+}
+
+stratify.rqs <- function(object){
+ x <- vector("list", length(object$tau))
+ for(i in 1:length(object$tau)){
+ xi <- object
+ xi$coefficients <- xi$coefficients[,i]
+ xi$residuals <- xi$residuals[,i]
+ xi$tau <- xi$tau[i]
+ class(xi) <- "rq"
+ x[[i]] <- xi
+ }
+ names(x) <- object$tau
+ x
+}
+
diff --git a/R/zelig3rq.R b/R/zelig3rq.R
new file mode 100644
index 0000000..1288116
--- /dev/null
+++ b/R/zelig3rq.R
@@ -0,0 +1,26 @@
+zelig3rq <- function(res, fcall = NULL, zcall = NULL) {
+ se <- eval(zcall$se)
+ if(!is.null(se) && se=="rank"){
+ warning("Rank test inversion is incompatible with estimation of the covariance matrix. Switching se method to \"nid\".")
+ se <- "nid"
+ }
+ else if(is.null(se))
+ se <- "nid"
+ res$se <- se
+ res
+}
+
+stratify.rqs <- function(object){
+ x <- vector("list", length(object$tau))
+ for(i in 1:length(object$tau)){
+ xi <- object
+ xi$coefficients <- xi$coefficients[,i]
+ xi$residuals <- xi$residuals[,i]
+ xi$tau <- xi$tau[i]
+ class(xi) <- "rq"
+ x[[i]] <- xi
+ }
+ names(x) <- object$tau
+ x
+}
+
diff --git a/demo/00Index b/demo/00Index
index 8fd8ed0..a90b9d0 100644
--- a/demo/00Index
+++ b/demo/00Index
@@ -31,6 +31,7 @@ ologit Ordinal Logit regression and simulation
oprobit Ordinal Probit regression and simulation
poisson Poisson regression and simulation
probit Probit regression and simulation
+quantile Quantile regresion model
relogit Rare events logit regression and simulation
robust Robust estimation and simulation
strata Regression and simulation in a stratified model
diff --git a/demo/quantile.R b/demo/quantile.R
new file mode 100644
index 0000000..c48321f
--- /dev/null
+++ b/demo/quantile.R
@@ -0,0 +1,83 @@
+##### Example 1: Basic Examle with First Differences #####
+
+# Sample data about the efficiency of a plant
+data(stackloss)
+
+#Estimate the model, observe the output
+user.prompt()
+z.out1 <- zelig(stack.loss ~ Air.Flow + Water.Temp + Acid.Conc., model = "quantile",
+ data = stackloss, tau=0.5)
+summary(z.out1)
+
+#Set explanatory variables
+user.prompt()
+x.high <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.8))
+x.low <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.2))
+
+#Simulate
+ user.prompt()
+ s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+ summary(s.out1)
+ plot(s.out1)
+
+##### Example 2: Example Using Dummy Variables #####
+
+#Macroeconomic data to demonstrate use of dummy variables.
+#Note that to measure country-level effects, we only need to include
+#the country factor variable, from which R will create a matrix of
+#dummy variables. Convenient!
+ user.prompt()
+ data(macro)
+ z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(country),
+ model = "quantile", tau=0.5, data = macro)
+
+#Set values of the country dummy variable to explore first differences
+#between the US and Japan holding other variables at their means
+ user.prompt()
+ x.US <- setx(z.out2, country = "United States")
+ x.Japan <- setx(z.out2, country = "Japan")
+
+#Simulate quantities of interest:
+ user.prompt()
+ s.out2 <- sim(z.out2, x = x.US, x1 = x.Japan)
+
+#Plot results
+ user.prompt()
+ plot(s.out2)
+
+##### Example 3: Example of Fitting Multiple Quantiles #####
+
+#We estimate a model of food expenditure as a function of household income.
+#This dataset is interesting because there is clear heteroskedasticity. Thus,
+#estimating multiple quantiles lets us get a fuller picture of the conditional
+#distribution of the data than a mean estimate from OLS would.
+ user.prompt()
+ data(engel)
+ z.out3 <- zelig(foodexp ~ income, model = "quantile", tau=seq(0.1,0.9,by=0.1), data = engel)
+
+#The summary function provides information about each fit that was specified
+#in the call.
+ user.prompt()
+ summary(z.out3)
+
+#We can also plot the coefficients of each fit and compare them to the OLS fit.
+#This functionality is built into the quantile fitting routine and does not
+#require the user to run the fit object through Zelig's simulation utilities.
+ user.prompt()
+ plot(summary(z.out3))
+
+#Using setx, we can specify the levels of covariates as before.
+ user.prompt()
+ x.bottom <- setx(z.out3, income=quantile(engel$income, 0.25))
+ x.top <- setx(z.out3, income=quantile(engel$income, 0.75))
+
+#We run simulations without our counterfactual values. The simulation reruns
+#every fit that was specified in zelig().
+ user.prompt()
+ s.out3 <- sim(z.out3, x = x.bottom, x1 = x.top)
+
+#Summarize the results of all of the fits at once, or plot the results one as a time.
+ user.prompt()
+ summary(s.out3)
+ user.prompt()
+ plot(s.out3[[1]]) # You can plot any one of the sim outputs from 1 to 9
diff --git a/inst/doc/Rplots.pdf b/inst/doc/Rplots.pdf
index 7c81222..579311e 100644
--- a/inst/doc/Rplots.pdf
+++ b/inst/doc/Rplots.pdf
@@ -2,10 +2,10 @@
%���ρ�\r
1 0 obj
<<
-/CreationDate (D:20090313100648)
-/ModDate (D:20090313100648)
+/CreationDate (D:20090522160301)
+/ModDate (D:20090522160301)
/Title (R Graphics Output)
-/Producer (R 2.8.1)
+/Producer (R 2.9.0)
/Creator (R)
>>
endobj
@@ -36,510 +36,510 @@ Q q 57.60 57.60 432.00 417.60 re W n
1 J
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10.00 M
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38.02 374.02 m
494.50 374.02 l
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Q q 0.00 336.00 504.00 168.00 re W n
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0.000 0.000 0.000 rg
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ET
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/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 80.17 Tm (Density) Tj
@@ -61936,7 +61955,7 @@ Q
endstream
endobj
127 0 obj
-20908
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endobj
128 0 obj
<<
@@ -61974,10 +61993,10 @@ ET
Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 203.43 484.57 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 202.03 484.57 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
-/F2 1 Tf 12.00 0.00 -0.00 12.00 203.93 269.28 Tm (Percentage of Simulations) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 203.93 269.28 Tm [(P) 50 (ercentage of Sim) 10 (ulations)] TJ
ET
Q q
0.000 0.000 0.000 RG
@@ -62604,7 +62623,7 @@ S
Q q 0.00 0.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 194.04 232.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.48 232.57 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 120.40 Tm (Density) Tj
@@ -62622,7 +62641,7 @@ Q
endstream
endobj
130 0 obj
-11086
+11116
endobj
131 0 obj
<<
@@ -62660,10 +62679,10 @@ ET
Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 203.43 484.57 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 202.03 484.57 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
-/F2 1 Tf 12.00 0.00 -0.00 12.00 203.93 269.28 Tm (Percentage of Simulations) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 203.93 269.28 Tm [(P) 50 (ercentage of Sim) 10 (ulations)] TJ
ET
Q q
0.000 0.000 0.000 RG
@@ -63280,7 +63299,7 @@ S
Q q 0.00 0.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 194.04 232.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.48 232.57 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 120.40 Tm (Density) Tj
@@ -63298,7 +63317,7 @@ Q
endstream
endobj
133 0 obj
-10879
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endobj
134 0 obj
<<
@@ -63336,10 +63355,10 @@ ET
Q q 0.00 378.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 216.14 490.91 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 215.14 490.91 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
-/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm (Percentage of Simulations) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm [(P) 50 (ercentage of Sim) 10 (ulations)] TJ
ET
Q q
0.000 0.000 0.000 RG
@@ -63950,7 +63969,7 @@ S
Q q 0.00 252.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 209.43 364.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 209.03 364.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 311.17 Tm (Density) Tj
@@ -64543,7 +64562,7 @@ S
Q q 0.00 126.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 142.44 238.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 142.04 238.91 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 185.17 Tm (Density) Tj
@@ -65156,7 +65175,7 @@ Q
endstream
endobj
136 0 obj
-30113
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137 0 obj
<<
@@ -65240,13 +65259,13 @@ S
Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 236.33 484.57 Tm (ROC Curve) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 236.33 484.57 Tm [(R) 20 (OC Cur) -10 (ve)] TJ
ET
BT
-/F2 1 Tf 12.00 0.00 -0.00 12.00 177.29 269.28 Tm (Proportion of 1's Correctly Predicted) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 176.99 269.28 Tm [(Propor) -40 (tion of 1's Correctly Predicted)] TJ
ET
BT
-/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 296.09 Tm (Proportion of 0's Correctly Predicted) Tj
+/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 295.79 Tm [(Propor) -40 (tion of 0's Correctly Predicted)] TJ
ET
Q q 57.60 309.60 432.00 165.60 re W n
0.000 0.000 0.000 RG
@@ -65466,7 +65485,7 @@ Q
endstream
endobj
139 0 obj
-5091
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endobj
140 0 obj
<<
@@ -65504,10 +65523,10 @@ ET
Q q 0.00 378.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 216.14 490.91 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 215.14 490.91 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
-/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm (Percentage of Simulations) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm [(P) 50 (ercentage of Sim) 10 (ulations)] TJ
ET
Q q
0.000 0.000 0.000 RG
@@ -66131,7 +66150,7 @@ S
Q q 0.00 252.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 209.43 364.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 209.03 364.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 311.17 Tm (Density) Tj
@@ -66733,7 +66752,7 @@ S
Q q 0.00 126.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 142.44 238.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 142.04 238.91 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 185.17 Tm (Density) Tj
@@ -67348,7 +67367,7 @@ Q
endstream
endobj
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143 0 obj
<<
@@ -67386,10 +67405,10 @@ ET
Q q 0.00 378.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 216.14 490.91 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 215.14 490.91 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
-/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm (Percentage of Simulations) Tj
+/F2 1 Tf 8.00 0.00 -0.00 8.00 219.81 389.40 Tm [(P) 50 (ercentage of Sim) 10 (ulations)] TJ
ET
Q q
0.000 0.000 0.000 RG
@@ -68002,7 +68021,7 @@ S
Q q 0.00 252.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 209.43 364.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 209.03 364.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 311.17 Tm (Density) Tj
@@ -68599,7 +68618,7 @@ S
Q q 0.00 126.00 504.00 126.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 142.44 238.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 142.04 238.91 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 185.17 Tm (Density) Tj
@@ -69208,7 +69227,7 @@ Q
endstream
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-30211
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<<
@@ -69792,7 +69811,7 @@ S
Q q 0.00 336.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 209.43 490.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 209.03 490.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 416.17 Tm (Density) Tj
@@ -70380,7 +70399,7 @@ S
Q q 0.00 168.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 216.14 322.91 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 215.14 322.91 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 248.17 Tm (Density) Tj
@@ -70976,7 +70995,7 @@ S
Q q 0.00 0.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 188.70 154.91 Tm (First Differences: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 188.70 154.91 Tm [(Fir) 15 (st Diff) 10 (erences: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 80.17 Tm (Density) Tj
@@ -70994,7 +71013,7 @@ Q
endstream
endobj
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<<
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Q q 0.00 336.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 209.43 490.91 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 209.03 490.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 416.17 Tm (Density) Tj
@@ -72178,7 +72197,7 @@ S
Q q 0.00 168.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 216.14 322.91 Tm (Predicted Values: Y|X) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 215.14 322.91 Tm [(Predicted V) 60 (alues: Y|X)] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 248.17 Tm (Density) Tj
@@ -72787,7 +72806,7 @@ S
Q q 0.00 0.00 504.00 168.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 10.00 0.00 -0.00 10.00 142.44 154.91 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 10.00 0.00 -0.00 10.00 142.04 154.91 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 8.00 -8.00 0.00 17.11 80.17 Tm (Density) Tj
@@ -72805,7 +72824,7 @@ Q
endstream
endobj
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-29193
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152 0 obj
<<
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Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 194.04 484.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.48 484.57 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 372.40 Tm (Density) Tj
@@ -73995,7 +74014,7 @@ S
Q q 0.00 0.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 100.25 232.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 99.69 232.57 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 120.40 Tm (Density) Tj
@@ -74013,7 +74032,7 @@ Q
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<<
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Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 194.04 484.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.48 484.57 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 372.40 Tm (Density) Tj
@@ -75186,7 +75205,7 @@ S
Q q 0.00 0.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 100.25 232.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 99.69 232.57 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 120.40 Tm (Density) Tj
@@ -75204,7 +75223,7 @@ Q
endstream
endobj
157 0 obj
-18985
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158 0 obj
<<
@@ -75803,7 +75822,7 @@ S
Q q 0.00 252.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 194.04 484.57 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 193.48 484.57 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 372.40 Tm (Density) Tj
@@ -76392,7 +76411,7 @@ S
Q q 0.00 0.00 504.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 14.00 0.00 -0.00 14.00 100.25 232.57 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 14.00 0.00 -0.00 14.00 99.69 232.57 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 12.00 -12.00 0.00 25.92 120.40 Tm (Density) Tj
@@ -76410,7 +76429,7 @@ Q
endstream
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endobj
161 0 obj
<<
@@ -77018,7 +77037,7 @@ S
Q q 0.00 252.00 252.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 12.00 0.00 -0.00 12.00 75.73 487.74 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 12.00 0.00 -0.00 12.00 75.25 487.74 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 10.00 -10.00 0.00 21.51 373.28 Tm (Density) Tj
@@ -77623,7 +77642,7 @@ S
Q q 252.00 252.00 252.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 12.00 0.00 -0.00 12.00 327.73 487.74 Tm (Expected Values: E\(Y|X\)) Tj
+/F3 1 Tf 12.00 0.00 -0.00 12.00 327.25 487.74 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 10.00 -10.00 0.00 273.51 373.28 Tm (Density) Tj
@@ -78217,7 +78236,7 @@ S
Q q 0.00 0.00 252.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 12.00 0.00 -0.00 12.00 -4.66 235.74 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 12.00 0.00 -0.00 12.00 -5.14 235.74 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 10.00 -10.00 0.00 21.51 121.28 Tm (Density) Tj
@@ -78811,7 +78830,7 @@ S
Q q 252.00 0.00 252.00 252.00 re W n
BT
0.000 0.000 0.000 rg
-/F3 1 Tf 12.00 0.00 -0.00 12.00 247.34 235.74 Tm (First Differences in Expected Values: E\(Y|X1\)-E\(Y|X\)) Tj
+/F3 1 Tf 12.00 0.00 -0.00 12.00 246.86 235.74 Tm [(Fir) 15 (st Diff) 10 (erences in Expected V) 60 (alues: E\(Y|X1\)-E\(Y|X\))] TJ
ET
BT
/F2 1 Tf 0.00 10.00 -10.00 0.00 273.51 121.28 Tm (Density) Tj
@@ -78830,7 +78849,7 @@ Q
endstream
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163 0 obj
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endobj
164 0 obj
<<
@@ -78849,7 +78868,7 @@ q
Q q
BT
0.000 0.000 0.000 rg
-/F2 1 Tf 18.00 0.00 -0.00 18.00 112.21 447.14 Tm (1988 Mexican Presidential Election) Tj
+/F2 1 Tf 18.00 0.00 -0.00 18.00 112.21 447.14 Tm [(1988 Me) 30 (xican Presidential Election)] TJ
ET
1.000 1.000 1.000 rg
0.000 0.000 0.000 RG
@@ -78949,8 +78968,6 @@ BT
/F2 1 Tf 12.00 0.00 -0.00 12.00 243.66 329.47 Tm (0.8) Tj
ET
0.000 0.000 1.000 rg
-133.91 105.20 1.00 1.00 re f
-145.18 103.76 1.00 1.00 re f
133.72 107.85 1.00 1.00 re f
130.57 98.29 1.00 1.00 re f
131.58 101.05 1.00 1.00 re f
@@ -79949,12 +79966,14 @@ ET
129.87 102.57 1.00 1.00 re f
127.99 106.96 1.00 1.00 re f
140.99 115.17 1.00 1.00 re f
+127.05 109.35 1.00 1.00 re f
+135.11 96.77 1.00 1.00 re f
Q q
Q
endstream
endobj
166 0 obj
-30578
+30585
endobj
167 0 obj
<<
@@ -79973,7 +79992,7 @@ q
Q q
BT
0.000 0.000 0.000 rg
-/F2 1 Tf 18.00 0.00 -0.00 18.00 112.21 447.14 Tm (1988 Mexican Presidential Election) Tj
+/F2 1 Tf 18.00 0.00 -0.00 18.00 112.21 447.14 Tm [(1988 Me) 30 (xican Presidential Election)] TJ
ET
1.000 1.000 1.000 rg
0.000 0.000 0.000 RG
@@ -80073,8 +80092,6 @@ BT
/F2 1 Tf 12.00 0.00 -0.00 12.00 243.66 329.47 Tm (0.8) Tj
ET
0.000 0.000 1.000 rg
-139.06 108.49 1.00 1.00 re f
-142.76 105.00 1.00 1.00 re f
128.32 99.11 1.00 1.00 re f
141.39 104.21 1.00 1.00 re f
130.33 97.62 1.00 1.00 re f
@@ -81073,12 +81090,14 @@ ET
131.06 100.36 1.00 1.00 re f
124.10 98.48 1.00 1.00 re f
143.82 112.40 1.00 1.00 re f
+135.49 100.89 1.00 1.00 re f
+135.79 98.28 1.00 1.00 re f
Q q
Q
endstream
endobj
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-30445
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endobj
170 0 obj
<<
@@ -81102,45 +81121,45 @@ Q q
1 J
1 j
10.00 M
-79.48 309.60 m 432.42 309.60 l S
-79.48 309.60 m 79.48 306.00 l S
-197.13 309.60 m 197.13 306.00 l S
-314.78 309.60 m 314.78 306.00 l S
-432.42 309.60 m 432.42 306.00 l S
+79.16 309.60 m 412.49 309.60 l S
+79.16 309.60 m 79.16 306.00 l S
+190.27 309.60 m 190.27 306.00 l S
+301.38 309.60 m 301.38 306.00 l S
+412.49 309.60 m 412.49 306.00 l S
BT
0.000 0.000 0.000 rg
-/F2 1 Tf 12.00 0.00 -0.00 12.00 76.15 289.44 Tm (0) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 75.82 289.44 Tm (0) Tj
ET
BT
-/F2 1 Tf 12.00 0.00 -0.00 12.00 193.79 289.44 Tm (5) Tj
+/F2 1 Tf 12.00 0.00 -0.00 12.00 186.93 289.44 Tm (5) Tj
ET
BT
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BT
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BT
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BT
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BT
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BT
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ET
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BT
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ET
BT
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ET
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ET
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ET
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ET
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489.60 57.60 l
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ET
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ET
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ET
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494.50 206.02 l
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ET
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ET
BT
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38.02 38.02 m
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ET
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ET
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ET
BT
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ET
38.02 206.02 m
494.50 206.02 l
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Q q 0.00 168.00 504.00 168.00 re W n
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0.000 0.000 0.000 rg
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index edbfee2..7420467 100644
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diff --git a/inst/doc/chopit.pdf b/inst/doc/chopit.pdf
index c0f5217..2cdfc85 100644
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diff --git a/inst/doc/cloglog.net.pdf b/inst/doc/cloglog.net.pdf
index 10cc298..c54030f 100644
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diff --git a/inst/doc/commands/matchit.aux b/inst/doc/commands/matchit.aux
index de51f5a..980984b 100644
--- a/inst/doc/commands/matchit.aux
+++ b/inst/doc/commands/matchit.aux
@@ -1,26 +1,26 @@
\relax
\citation{HoImaKin05b}
-\@writefile{toc}{\contentsline {section}{\numberline {11.1}{\tt matchit}: Create matched data}{101}{section.11.1}}
-\newlabel{matchit}{{11.1}{101}{{\tt matchit}: Create matched data\relax }{section.11.1}{}}
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-\@writefile{toc}{\contentsline {paragraph}{Arguments for All Matching Methods}{101}{section*.68}}
-\newlabel{subsubsec:inputs-all}{{11.1}{102}{Additional Arguments for Specification of Distance Measures\relax }{section*.69}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Specification of Distance Measures}{102}{section*.69}}
+\@writefile{toc}{\contentsline {section}{\numberline {11.1}{\tt matchit}: Create matched data}{97}{section.11.1}}
+\newlabel{matchit}{{11.1}{97}{{\tt matchit}: Create matched data\relax }{section.11.1}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{97}{section*.65}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{97}{section*.66}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{97}{section*.67}}
+\@writefile{toc}{\contentsline {paragraph}{Arguments for All Matching Methods}{97}{section*.68}}
+\newlabel{subsubsec:inputs-all}{{11.1}{98}{Additional Arguments for Specification of Distance Measures\relax }{section*.69}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Specification of Distance Measures}{98}{section*.69}}
\citation{Imai05}
-\newlabel{subsubsec:inputs-subclass}{{11.1}{104}{Additional Arguments for Subclassification\relax }{section*.70}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Subclassification}{104}{section*.70}}
-\newlabel{subsubsec:inputs-nearest}{{11.1}{104}{Additional Arguments for Nearest Neighbor Matching\relax }{section*.71}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Nearest Neighbor Matching}{104}{section*.71}}
-\newlabel{subsubsec:inputs-optimal}{{11.1}{105}{Additional Arguments for Optimal Matching\relax }{section*.72}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Optimal Matching}{105}{section*.72}}
-\newlabel{subsubsec:inputs-full}{{11.1}{105}{Additional Arguments for Full Matching\relax }{section*.73}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Full Matching}{105}{section*.73}}
-\newlabel{subsubsec:inputs-genetic}{{11.1}{105}{Additional Arguments for Genetic Matching\relax }{section*.74}{}}
-\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Genetic Matching}{105}{section*.74}}
-\@writefile{toc}{\contentsline {subsubsection}{Output Values}{105}{section*.75}}
-\newlabel{sec:outputs}{{11.1}{105}{Output Values\relax }{section*.75}{}}
+\newlabel{subsubsec:inputs-subclass}{{11.1}{100}{Additional Arguments for Subclassification\relax }{section*.70}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Subclassification}{100}{section*.70}}
+\newlabel{subsubsec:inputs-nearest}{{11.1}{100}{Additional Arguments for Nearest Neighbor Matching\relax }{section*.71}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Nearest Neighbor Matching}{100}{section*.71}}
+\newlabel{subsubsec:inputs-optimal}{{11.1}{101}{Additional Arguments for Optimal Matching\relax }{section*.72}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Optimal Matching}{101}{section*.72}}
+\newlabel{subsubsec:inputs-full}{{11.1}{101}{Additional Arguments for Full Matching\relax }{section*.73}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Full Matching}{101}{section*.73}}
+\newlabel{subsubsec:inputs-genetic}{{11.1}{101}{Additional Arguments for Genetic Matching\relax }{section*.74}{}}
+\@writefile{toc}{\contentsline {paragraph}{Additional Arguments for Genetic Matching}{101}{section*.74}}
+\@writefile{toc}{\contentsline {subsubsection}{Output Values}{101}{section*.75}}
+\newlabel{sec:outputs}{{11.1}{101}{Output Values\relax }{section*.75}{}}
\citation{HoImaKin07}
\citation{HoImaKin05b}
\citation{StoKinZen06}
@@ -32,9 +32,9 @@
\citation{BreFriOls84}
\citation{Hansen04}
\citation{DiaSek05}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{106}{section*.76}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{102}{section*.76}}
\@setckpt{commands/matchit}{
-\setcounter{page}{108}
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deleted file mode 100644
index b44e52a..0000000
--- a/inst/doc/commands/model.end.aux
+++ /dev/null
@@ -1,36 +0,0 @@
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deleted file mode 100644
index aaa4bc1..0000000
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deleted file mode 100644
index b21d3ef..0000000
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deleted file mode 100644
index 01ae0be..0000000
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deleted file mode 100644
index 421ca06..0000000
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diff --git a/inst/doc/commands/print.aux b/inst/doc/commands/print.aux
index a958b58..b32dd97 100644
--- a/inst/doc/commands/print.aux
+++ b/inst/doc/commands/print.aux
@@ -1,14 +1,14 @@
\relax
-\@writefile{toc}{\contentsline {section}{\numberline {10.4}{\tt print}: Printing Quantities of Interest}{97}{section.10.4}}
-\newlabel{ss:print}{{10.4}{97}{{\tt print}: Printing Quantities of Interest\relax }{section.10.4}{}}
-\@writefile{toc}{\contentsline {subsubsection}{Description}{97}{section*.52}}
-\@writefile{toc}{\contentsline {subsubsection}{Syntax}{97}{section*.53}}
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-\@writefile{toc}{\contentsline {subsubsection}{Examples}{97}{section*.55}}
-\@writefile{toc}{\contentsline {subsubsection}{See Also}{97}{section*.56}}
-\@writefile{toc}{\contentsline {subsubsection}{Contributors}{97}{section*.57}}
+\@writefile{toc}{\contentsline {section}{\numberline {10.4}{\tt print}: Printing Quantities of Interest}{93}{section.10.4}}
+\newlabel{ss:print}{{10.4}{93}{{\tt print}: Printing Quantities of Interest\relax }{section.10.4}{}}
+\@writefile{toc}{\contentsline {subsubsection}{Description}{93}{section*.52}}
+\@writefile{toc}{\contentsline {subsubsection}{Syntax}{93}{section*.53}}
+\@writefile{toc}{\contentsline {subsubsection}{Arguments}{93}{section*.54}}
+\@writefile{toc}{\contentsline {subsubsection}{Examples}{93}{section*.55}}
+\@writefile{toc}{\contentsline {subsubsection}{See Also}{93}{section*.56}}
+\@writefile{toc}{\contentsline {subsubsection}{Contributors}{93}{section*.57}}
\@setckpt{commands/print}{
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diff --git a/inst/doc/commands/put.start.aux b/inst/doc/commands/put.start.aux
deleted file mode 100644
index 0afb276..0000000
--- a/inst/doc/commands/put.start.aux
+++ /dev/null
@@ -1,36 +0,0 @@
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deleted file mode 100644
index 153fb89..0000000
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diff --git a/inst/doc/commands/tag.aux b/inst/doc/commands/tag.aux
deleted file mode 100644
index 69bc237..0000000
--- a/inst/doc/commands/tag.aux
+++ /dev/null
@@ -1,45 +0,0 @@
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-\newlabel{tag}{{13.1}{562}{{\tt tag}: Constrain parameter effects across equations\relax }{section.13.1}{}}
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diff --git a/inst/doc/commandsRd/MatchIt.url.pdf b/inst/doc/commandsRd/MatchIt.url.pdf
index 9192f85..0c52e63 100644
Binary files a/inst/doc/commandsRd/MatchIt.url.pdf and b/inst/doc/commandsRd/MatchIt.url.pdf differ
diff --git a/inst/doc/commandsRd/PErisk.pdf b/inst/doc/commandsRd/PErisk.pdf
index 1df1825..821bb21 100644
Binary files a/inst/doc/commandsRd/PErisk.pdf and b/inst/doc/commandsRd/PErisk.pdf differ
diff --git a/inst/doc/commandsRd/PErisk.tex b/inst/doc/commandsRd/PErisk.tex
index a303d32..c4e5521 100644
--- a/inst/doc/commandsRd/PErisk.tex
+++ b/inst/doc/commandsRd/PErisk.tex
@@ -24,7 +24,7 @@ country: a factor with levels 'Argentina' 'Australia' 'Austria'
'Switzerland' 'Syria' 'Thailand' 'Togo' 'Tunisia' 'Turkey'
'United Kingdom' 'Uruguay' 'Venezuela' 'Zambia' 'Zimbabwe'
-courts: an ordered factor with levels '0' < '1'.'courts' is an
+courts: an ordered factor with levels '0' \textless{} '1'.'courts' is an
indicator of whether the country in question is judged to
have an independent judiciary. From Henisz (2002).
@@ -34,12 +34,12 @@ the black market exchange rate (local currency per dollar)
divided by the official exchange rate minus 1. From
Marshall, Gurr, and Harff (2002).
-prsexp2: an ordered factor with levels '0' < '1' < '2' < '3' < '4'
-< '5', giving the lack of expropriation risk. From Marshall,
+prsexp2: an ordered factor with levels '0' \textless{} '1' \textless{} '2' \textless{} '3' \textless{} '4'
+\textless{} '5', giving the lack of expropriation risk. From Marshall,
Gurr, and Harff (2002).
-prscorr2: an ordered factor with levels '0' < '1' < '2' < '3' < '4'
-< '5', measuring the lack of corruption. From Marshall, Gurr,
+prscorr2: an ordered factor with levels '0' \textless{} '1' \textless{} '2' \textless{} '3' \textless{} '4'
+\textless{} '5', measuring the lack of corruption. From Marshall, Gurr,
and Harff (2002).
gdpw2: a numeric vector giving the natural log of real GDP per
@@ -48,17 +48,17 @@ worker in 1985 international prices. From Alvarez et al.
\end{Format}
\begin{Source}\relax
Mike Alvarez, Jose Antonio Cheibub, Fernando Limongi, and Adam
-Przeworski. 1999. ``ACLP Political and Economic Database.'' <URL:
-http://www.ssc.upenn.edu/~cheibub/data/>.
+Przeworski. 1999. ``ACLP Political and Economic Database.'' \textless{}URL:
+http://www.ssc.upenn.edu/\textasciitilde{}cheibub/data/\textgreater{}.
Witold J. Henisz. 2002. ``The Political Constraint Index (POLCON)
-Dataset.'' \ <URL:
+Dataset.'' \ \textless{}URL:
http://www-management.wharton.upenn.edu/henisz/POLCON/ContactInfo.
-html>.
+html\textgreater{}.
Monty G. Marshall, Ted Robert Gurr, and Barbara Harff. 2002.
-``State Failure Task Force Problem Set.'' <URL:
-http://www.cidcm.umd.edu/inscr/stfail/index.htm>.
+``State Failure Task Force Problem Set.'' \textless{}URL:
+http://www.cidcm.umd.edu/inscr/stfail/index.htm\textgreater{}.
\end{Source}
\begin{References}\relax
Kevin M. Quinn. 2004. ``Bayesian Factor Analysis for Mixed Ordinal
diff --git a/inst/doc/commandsRd/SupremeCourt.pdf b/inst/doc/commandsRd/SupremeCourt.pdf
index ef1f2dd..9d23882 100644
Binary files a/inst/doc/commandsRd/SupremeCourt.pdf and b/inst/doc/commandsRd/SupremeCourt.pdf differ
diff --git a/inst/doc/commandsRd/SupremeCourt.tex b/inst/doc/commandsRd/SupremeCourt.tex
index 849feac..317d752 100644
--- a/inst/doc/commandsRd/SupremeCourt.tex
+++ b/inst/doc/commandsRd/SupremeCourt.tex
@@ -21,7 +21,7 @@ oral argument and cases decided by an equally divided vote
\begin{Source}\relax
Harold J. Spaeth (2005). ``Original United States Supreme Court
Database: 1953-2004 Terms.''
-<URL:http://www.as.uky.edu/polisci/ulmerproject/sctdata.htm>.
+\textless{}URL:http://www.as.uky.edu/polisci/ulmerproject/sctdata.htm\textgreater{}.
\end{Source}
\end{document}
diff --git a/inst/doc/commandsRd/Weimar.pdf b/inst/doc/commandsRd/Weimar.pdf
index ce7ad61..9797248 100644
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diff --git a/inst/doc/commandsRd/Zelig-package.pdf b/inst/doc/commandsRd/Zelig-package.pdf
index 88d73ed..ac2a19b 100644
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diff --git a/inst/doc/commandsRd/Zelig-package.tex b/inst/doc/commandsRd/Zelig-package.tex
index 6a81241..378da16 100644
--- a/inst/doc/commandsRd/Zelig-package.tex
+++ b/inst/doc/commandsRd/Zelig-package.tex
@@ -21,9 +21,9 @@ quantities of direct interest.
Package: & Zelig\\
Version: & 2.8-5\\
Date: & 2007-06-12\\
-Depends: & R (>= 2.4.0), MASS, boot\\
-Suggests: & VGAM (>= 0.7-1), MCMCpack (>= 0.7-4), mvtnorm, survival,
-sandwich (>= 2.0-0), zoo (>= 1.2-1), coda, nnet, sna, gee,
+Depends: & R (\textgreater{}= 2.4.0), MASS, boot\\
+Suggests: & VGAM (\textgreater{}= 0.7-1), MCMCpack (\textgreater{}= 0.7-4), mvtnorm, survival,
+sandwich (\textgreater{}= 2.0-0), zoo (\textgreater{}= 1.2-1), coda, nnet, sna, gee,
systemfit, mgcv\\
License: & GPL version 2 or newer\\
URL: & http://gking.harvard.edu/zelig\\
@@ -148,10 +148,10 @@ Further information is available in the following vignettes:
}
\end{Details}
\begin{Author}\relax
-Kosuke Imai <kimai at Princeton.Edu>, Gary King
-<king at harvard.edu>, Olivia Lau <olau at fas.harvard.edu>
+Kosuke Imai \textless{}kimai at Princeton.Edu\textgreater{}, Gary King
+\textless{}king at harvard.edu\textgreater{}, Olivia Lau \textless{}olau at fas.harvard.edu\textgreater{}
-Maintainer: Kosuke Imai <kimai at Princeton.Edu>
+Maintainer: Kosuke Imai \textless{}kimai at Princeton.Edu\textgreater{}
\end{Author}
\end{document}
diff --git a/inst/doc/commandsRd/Zelig.pdf b/inst/doc/commandsRd/Zelig.pdf
index 2f48b32..843b914 100644
Binary files a/inst/doc/commandsRd/Zelig.pdf and b/inst/doc/commandsRd/Zelig.pdf differ
diff --git a/inst/doc/commandsRd/Zelig.tex b/inst/doc/commandsRd/Zelig.tex
index 1507a00..637d95b 100644
--- a/inst/doc/commandsRd/Zelig.tex
+++ b/inst/doc/commandsRd/Zelig.tex
@@ -56,8 +56,8 @@ and \code{formula} which may be summarized using
for additional output values, or simply type \code{names(z.out)}.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual is available at
diff --git a/inst/doc/commandsRd/Zelig.url.pdf b/inst/doc/commandsRd/Zelig.url.pdf
index 4c7cd7d..b305d5e 100644
Binary files a/inst/doc/commandsRd/Zelig.url.pdf and b/inst/doc/commandsRd/Zelig.url.pdf differ
diff --git a/inst/doc/commandsRd/approval.pdf b/inst/doc/commandsRd/approval.pdf
index eed614a..f02b290 100644
Binary files a/inst/doc/commandsRd/approval.pdf and b/inst/doc/commandsRd/approval.pdf differ
diff --git a/inst/doc/commandsRd/bivariate.pdf b/inst/doc/commandsRd/bivariate.pdf
index ce38cb6..8af9f50 100644
Binary files a/inst/doc/commandsRd/bivariate.pdf and b/inst/doc/commandsRd/bivariate.pdf differ
diff --git a/inst/doc/commandsRd/coalition.pdf b/inst/doc/commandsRd/coalition.pdf
index b1b2d32..10d64f4 100644
Binary files a/inst/doc/commandsRd/coalition.pdf and b/inst/doc/commandsRd/coalition.pdf differ
diff --git a/inst/doc/commandsRd/coalition2.pdf b/inst/doc/commandsRd/coalition2.pdf
index a83bc97..232f803 100644
Binary files a/inst/doc/commandsRd/coalition2.pdf and b/inst/doc/commandsRd/coalition2.pdf differ
diff --git a/inst/doc/commandsRd/current.packages.pdf b/inst/doc/commandsRd/current.packages.pdf
index c14ca84..9ec9974 100644
Binary files a/inst/doc/commandsRd/current.packages.pdf and b/inst/doc/commandsRd/current.packages.pdf differ
diff --git a/inst/doc/commandsRd/current.packages.tex b/inst/doc/commandsRd/current.packages.tex
index 4b1bbd9..ccdd775 100644
--- a/inst/doc/commandsRd/current.packages.tex
+++ b/inst/doc/commandsRd/current.packages.tex
@@ -21,7 +21,7 @@ A matrix containing the current version number of the packages
suggested or required by \code{package}.
\end{Value}
\begin{Author}\relax
-Olivia Lau <\email{olau at fas.harvard.edu}>
+Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{packageDescription}
diff --git a/inst/doc/commandsRd/dims.pdf b/inst/doc/commandsRd/dims.pdf
index e208516..0c76bb6 100644
Binary files a/inst/doc/commandsRd/dims.pdf and b/inst/doc/commandsRd/dims.pdf differ
diff --git a/inst/doc/commandsRd/dims.tex b/inst/doc/commandsRd/dims.tex
index 7ecae61..b79addb 100644
--- a/inst/doc/commandsRd/dims.tex
+++ b/inst/doc/commandsRd/dims.tex
@@ -20,7 +20,7 @@ additionally returns the \code{length} of vectors (treating them as
one-dimensional arrays).
\end{Value}
\begin{Author}\relax
-Olivia Lau <\email{olau at fas.harvard.edu}>
+Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{dim}, \code{length}
diff --git a/inst/doc/commandsRd/eidat.pdf b/inst/doc/commandsRd/eidat.pdf
index f32898e..5b72655 100644
Binary files a/inst/doc/commandsRd/eidat.pdf and b/inst/doc/commandsRd/eidat.pdf differ
diff --git a/inst/doc/commandsRd/free1.pdf b/inst/doc/commandsRd/free1.pdf
index 8715147..64095df 100644
Binary files a/inst/doc/commandsRd/free1.pdf and b/inst/doc/commandsRd/free1.pdf differ
diff --git a/inst/doc/commandsRd/free2.pdf b/inst/doc/commandsRd/free2.pdf
index 60ae5dc..1b4cf5d 100644
Binary files a/inst/doc/commandsRd/free2.pdf and b/inst/doc/commandsRd/free2.pdf differ
diff --git a/inst/doc/commandsRd/friendship.pdf b/inst/doc/commandsRd/friendship.pdf
index e37e766..8858f74 100644
Binary files a/inst/doc/commandsRd/friendship.pdf and b/inst/doc/commandsRd/friendship.pdf differ
diff --git a/inst/doc/commandsRd/grunfeld.pdf b/inst/doc/commandsRd/grunfeld.pdf
index 2cd2aa6..61217fe 100644
Binary files a/inst/doc/commandsRd/grunfeld.pdf and b/inst/doc/commandsRd/grunfeld.pdf differ
diff --git a/inst/doc/commandsRd/gsource.pdf b/inst/doc/commandsRd/gsource.pdf
index a2f680a..e3bbcd3 100644
Binary files a/inst/doc/commandsRd/gsource.pdf and b/inst/doc/commandsRd/gsource.pdf differ
diff --git a/inst/doc/commandsRd/gsource.tex b/inst/doc/commandsRd/gsource.tex
index 04408f6..c6a9118 100644
--- a/inst/doc/commandsRd/gsource.tex
+++ b/inst/doc/commandsRd/gsource.tex
@@ -24,7 +24,7 @@ The output from \code{gsource} is a data frame, which you may save to
an object in your workspace.
\end{Value}
\begin{Author}\relax
-Olivia Lau <\email{olau at fas.harvard.edu}>
+Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{read.table}, \code{scan}
diff --git a/inst/doc/commandsRd/help.zelig.pdf b/inst/doc/commandsRd/help.zelig.pdf
index b9c4696..5fdd5e1 100644
Binary files a/inst/doc/commandsRd/help.zelig.pdf and b/inst/doc/commandsRd/help.zelig.pdf differ
diff --git a/inst/doc/commandsRd/help.zelig.tex b/inst/doc/commandsRd/help.zelig.tex
index 9bff93d..fc09e8c 100644
--- a/inst/doc/commandsRd/help.zelig.tex
+++ b/inst/doc/commandsRd/help.zelig.tex
@@ -19,8 +19,8 @@ models.
\end{ldescription}
\end{Arguments}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau<\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau\textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The complete document is available online at
diff --git a/inst/doc/commandsRd/hoff.pdf b/inst/doc/commandsRd/hoff.pdf
index 5c3ae8b..0d9fefa 100644
Binary files a/inst/doc/commandsRd/hoff.pdf and b/inst/doc/commandsRd/hoff.pdf differ
diff --git a/inst/doc/commandsRd/homerun.pdf b/inst/doc/commandsRd/homerun.pdf
index 76472b9..cc7dd78 100644
Binary files a/inst/doc/commandsRd/homerun.pdf and b/inst/doc/commandsRd/homerun.pdf differ
diff --git a/inst/doc/commandsRd/immigration.pdf b/inst/doc/commandsRd/immigration.pdf
index 33a303a..d3144bc 100644
Binary files a/inst/doc/commandsRd/immigration.pdf and b/inst/doc/commandsRd/immigration.pdf differ
diff --git a/inst/doc/commandsRd/klein.pdf b/inst/doc/commandsRd/klein.pdf
index 2ffce4b..33f6c24 100644
Binary files a/inst/doc/commandsRd/klein.pdf and b/inst/doc/commandsRd/klein.pdf differ
diff --git a/inst/doc/commandsRd/klein.tex b/inst/doc/commandsRd/klein.tex
index c492f60..b11b298 100644
--- a/inst/doc/commandsRd/klein.tex
+++ b/inst/doc/commandsRd/klein.tex
@@ -16,7 +16,7 @@ A table containing 14 variables ("year", "C", "P", "P1","Wtot", "Wp",
"Wg", "I", "K1","X", "G", "T", "X1", "Tm") and 21 observations.
\end{Format}
\begin{Source}\relax
-http://pages.stern.nyu.edu/~wgreene/Text/econometricanalysis.htm
+http://pages.stern.nyu.edu/\textasciitilde{}wgreene/Text/econometricanalysis.htm
\end{Source}
\end{document}
diff --git a/inst/doc/commandsRd/kmenta.pdf b/inst/doc/commandsRd/kmenta.pdf
index 5559e8d..a96d8cc 100644
Binary files a/inst/doc/commandsRd/kmenta.pdf and b/inst/doc/commandsRd/kmenta.pdf differ
diff --git a/inst/doc/commandsRd/macro.pdf b/inst/doc/commandsRd/macro.pdf
index 3a35529..6bac66a 100644
Binary files a/inst/doc/commandsRd/macro.pdf and b/inst/doc/commandsRd/macro.pdf differ
diff --git a/inst/doc/commandsRd/match.data.pdf b/inst/doc/commandsRd/match.data.pdf
index 9a5681d..4c3f82f 100644
Binary files a/inst/doc/commandsRd/match.data.pdf and b/inst/doc/commandsRd/match.data.pdf differ
diff --git a/inst/doc/commandsRd/match.data.tex b/inst/doc/commandsRd/match.data.tex
index 29563cd..a212dca 100644
--- a/inst/doc/commandsRd/match.data.tex
+++ b/inst/doc/commandsRd/match.data.tex
@@ -32,9 +32,9 @@ procedure).
See the \code{matchit} documentation for more details on these items.
\end{Value}
\begin{Author}\relax
-Daniel Ho <\email{deho at fas.harvard.edu}>; Kosuke Imai
-<\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Elizabeth Stuart<\email{stuart at stat.harvard.edu}>
+Daniel Ho \textless{}\email{deho at fas.harvard.edu}\textgreater{}; Kosuke Imai
+\textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Elizabeth Stuart\textless{}\email{stuart at stat.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The complete documentation for \code{matchit} is available online at
diff --git a/inst/doc/commandsRd/mexico.pdf b/inst/doc/commandsRd/mexico.pdf
index 085cfc2..6ab309d 100644
Binary files a/inst/doc/commandsRd/mexico.pdf and b/inst/doc/commandsRd/mexico.pdf differ
diff --git a/inst/doc/commandsRd/mi.pdf b/inst/doc/commandsRd/mi.pdf
index 8282fda..5f2d76b 100644
Binary files a/inst/doc/commandsRd/mi.pdf and b/inst/doc/commandsRd/mi.pdf differ
diff --git a/inst/doc/commandsRd/mi.tex b/inst/doc/commandsRd/mi.tex
index c800d81..b31d752 100644
--- a/inst/doc/commandsRd/mi.tex
+++ b/inst/doc/commandsRd/mi.tex
@@ -23,8 +23,8 @@ element. The class name is \code{mi}. The list can be inputted into
sets. See \code{zelig} for details.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual is available at
diff --git a/inst/doc/commandsRd/mid.pdf b/inst/doc/commandsRd/mid.pdf
index b936e9c..ecb1cb6 100644
Binary files a/inst/doc/commandsRd/mid.pdf and b/inst/doc/commandsRd/mid.pdf differ
diff --git a/inst/doc/commandsRd/model.end.pdf b/inst/doc/commandsRd/model.end.pdf
index 8c99b8f..939da67 100644
Binary files a/inst/doc/commandsRd/model.end.pdf and b/inst/doc/commandsRd/model.end.pdf differ
diff --git a/inst/doc/commandsRd/model.end.tex b/inst/doc/commandsRd/model.end.tex
index 5bff709..ba36ddb 100644
--- a/inst/doc/commandsRd/model.end.tex
+++ b/inst/doc/commandsRd/model.end.tex
@@ -32,9 +32,9 @@ for more information
\end{ldescription}
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual at \url{http://gking.harvard.edu/zelig} for examples.
diff --git a/inst/doc/commandsRd/model.frame.multiple.pdf b/inst/doc/commandsRd/model.frame.multiple.pdf
index e09a7ed..be458d9 100644
Binary files a/inst/doc/commandsRd/model.frame.multiple.pdf and b/inst/doc/commandsRd/model.frame.multiple.pdf differ
diff --git a/inst/doc/commandsRd/model.frame.multiple.tex b/inst/doc/commandsRd/model.frame.multiple.tex
index 9553899..24bf3b7 100644
--- a/inst/doc/commandsRd/model.frame.multiple.tex
+++ b/inst/doc/commandsRd/model.frame.multiple.tex
@@ -35,9 +35,9 @@ will return the original variable in the data frame and use the \code{tag} infor
attribute only.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{model.matrix.default}{model.matrix.default}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
diff --git a/inst/doc/commandsRd/model.matrix.multiple.pdf b/inst/doc/commandsRd/model.matrix.multiple.pdf
index 7ec9025..2b81560 100644
Binary files a/inst/doc/commandsRd/model.matrix.multiple.pdf and b/inst/doc/commandsRd/model.matrix.multiple.pdf differ
diff --git a/inst/doc/commandsRd/model.matrix.multiple.tex b/inst/doc/commandsRd/model.matrix.multiple.tex
index fe48e83..427bf67 100644
--- a/inst/doc/commandsRd/model.matrix.multiple.tex
+++ b/inst/doc/commandsRd/model.matrix.multiple.tex
@@ -15,14 +15,14 @@ model.matrix.multiple(object, data, shape = "compact", eqn = NULL, ...)
\item[\code{data}] a data frame created with \code{\LinkA{model.frame.multiple}{model.frame.multiple}}
\item[\code{shape}] a character string specifying the shape of the outputed matrix. Available options are
\Itemize{
-\item["compact"] (default) the output matrix will be an \eqn{n \times v}{n x v},
+\item["compact"] (default) the output matrix will be an \eqn{n \times v}{},
where \eqn{v}{} is the number of unique variables in all of the equations
(including the intercept term)
-\item["array"] the output is an \eqn{n \times K \times J}{n x K x J} array where \eqn{J}{} is the
+\item["array"] the output is an \eqn{n \times K \times J}{} array where \eqn{J}{} is the
total number of equations and \eqn{K}{} is the total number of parameters
across all the equations. If a variable is not in a certain equation,
it is observed as a vector of 0s.
-\item["stacked"] the output will be a \eqn{2n \times K}{2n x K} matrix where \eqn{K}{} is the total number of
+\item["stacked"] the output will be a \eqn{2n \times K}{} matrix where \eqn{K}{} is the total number of
parameters across all the equations.
}
\item[\code{eqn}] a character string or a vector of character strings identifying the equations from which to
@@ -36,9 +36,9 @@ A design matrix or array, depending on the options chosen in \code{shape}, with
attributes.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
diff --git a/inst/doc/commandsRd/network.pdf b/inst/doc/commandsRd/network.pdf
index 5395702..2b6e788 100644
Binary files a/inst/doc/commandsRd/network.pdf and b/inst/doc/commandsRd/network.pdf differ
diff --git a/inst/doc/commandsRd/newpainters.pdf b/inst/doc/commandsRd/newpainters.pdf
index f85fb44..7e1e8cc 100644
Binary files a/inst/doc/commandsRd/newpainters.pdf and b/inst/doc/commandsRd/newpainters.pdf differ
diff --git a/inst/doc/commandsRd/parse.formula.pdf b/inst/doc/commandsRd/parse.formula.pdf
index 92a441f..8e6da74 100644
Binary files a/inst/doc/commandsRd/parse.formula.pdf and b/inst/doc/commandsRd/parse.formula.pdf differ
diff --git a/inst/doc/commandsRd/parse.formula.tex b/inst/doc/commandsRd/parse.formula.tex
index 7fef6c1..b6f48d1 100644
--- a/inst/doc/commandsRd/parse.formula.tex
+++ b/inst/doc/commandsRd/parse.formula.tex
@@ -30,21 +30,21 @@ Acceptable user inputs are as follows:
\Tabular{lll}{
& User Input & Output from \code{parse.formula}\\
& & \\
-Same covariates, & cbind(y1, y2) ~ x1 + x2 * x3 & list(mu1 = y1 ~ x1 + x2 * x3,\\
-separate effects & & mu2 = y2 ~ x1 + x2 * x3,\\
-& & rho = ~ 1)\\
+Same covariates, & cbind(y1, y2) \textasciitilde{} x1 + x2 * x3 & list(mu1 = y1 \textasciitilde{} x1 + x2 * x3,\\
+separate effects & & mu2 = y2 \textasciitilde{} x1 + x2 * x3,\\
+& & rho = \textasciitilde{} 1)\\
& & \\
-With \code{rho} as a & list(cbind(y1, y2) ~ x1 + x2, & list(mu1 = y1 ~ x1 + x2,\\
-systematic equation & rho = ~ x4 + x5) & mu2 = y2 ~ x1 + x2,\\
-& & rho = ~ x4 + x5)\\
+With \code{rho} as a & list(cbind(y1, y2) \textasciitilde{} x1 + x2, & list(mu1 = y1 \textasciitilde{} x1 + x2,\\
+systematic equation & rho = \textasciitilde{} x4 + x5) & mu2 = y2 \textasciitilde{} x1 + x2,\\
+& & rho = \textasciitilde{} x4 + x5)\\
& & \\
-With constraints & list(mu1 = y1 ~ x1 + tag(x2, "x2"), & list(mu1 = y1 ~ x1 + tag(x2, "x2"),\\
-(same variable) & mu2 = y2 ~ x3 + tag(x2, "x2")) & mu2 = y2 ~ x3 + tag(x2, "x2"),\\
-& & rho = ~ 1)\\
+With constraints & list(mu1 = y1 \textasciitilde{} x1 + tag(x2, "x2"), & list(mu1 = y1 \textasciitilde{} x1 + tag(x2, "x2"),\\
+(same variable) & mu2 = y2 \textasciitilde{} x3 + tag(x2, "x2")) & mu2 = y2 \textasciitilde{} x3 + tag(x2, "x2"),\\
+& & rho = \textasciitilde{} 1)\\
& & \\
-With constraints & list(mu1 = y1 ~ x1 + tag(x2, "z1"), & list(mu1 = y1 ~ x1 + tag(x2, "z1"),\\
-(different variables) & mu2 = y2 ~ x3 + tag(x4, "z1")) & mu2 = y2 ~ x3 + tag(x4, "z1"),\\
-& & rho = ~ 1)\\
+With constraints & list(mu1 = y1 \textasciitilde{} x1 + tag(x2, "z1"), & list(mu1 = y1 \textasciitilde{} x1 + tag(x2, "z1"),\\
+(different variables) & mu2 = y2 \textasciitilde{} x3 + tag(x4, "z1")) & mu2 = y2 \textasciitilde{} x3 + tag(x4, "z1"),\\
+& & rho = \textasciitilde{} 1)\\
}
\end{Details}
\begin{Value}
@@ -56,9 +56,9 @@ The output is a list of formula objects with class
may be parameterized, but is estimated as a scalar by default.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{model.frame.multiple}{model.frame.multiple}},
diff --git a/inst/doc/commandsRd/parse.par.pdf b/inst/doc/commandsRd/parse.par.pdf
index 576082b..a714702 100644
Binary files a/inst/doc/commandsRd/parse.par.pdf and b/inst/doc/commandsRd/parse.par.pdf differ
diff --git a/inst/doc/commandsRd/parse.par.tex b/inst/doc/commandsRd/parse.par.tex
index 8035ae4..7648143 100644
--- a/inst/doc/commandsRd/parse.par.tex
+++ b/inst/doc/commandsRd/parse.par.tex
@@ -36,9 +36,9 @@ always returned as a vector (ignoring \code{shape}). (Ancillary
parameters are all parameters that have intercept only formulas.)
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{model.matrix.multiple}{model.matrix.multiple}}, \code{\LinkA{parse.formula}{parse.formula}} and the full Zelig manual at
diff --git a/inst/doc/commandsRd/plot.ci.pdf b/inst/doc/commandsRd/plot.ci.pdf
index 829a6bd..53fae62 100644
Binary files a/inst/doc/commandsRd/plot.ci.pdf and b/inst/doc/commandsRd/plot.ci.pdf differ
diff --git a/inst/doc/commandsRd/plot.ci.tex b/inst/doc/commandsRd/plot.ci.tex
index 56f6915..899b823 100644
--- a/inst/doc/commandsRd/plot.ci.tex
+++ b/inst/doc/commandsRd/plot.ci.tex
@@ -40,8 +40,8 @@ variable. You may save this plot using the commands described in the
Zelig manual (\url{http://gking.harvard.edu/zelig}).
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual is available at
diff --git a/inst/doc/commandsRd/plot.surv.pdf b/inst/doc/commandsRd/plot.surv.pdf
index 357afb7..5e6a033 100644
Binary files a/inst/doc/commandsRd/plot.surv.pdf and b/inst/doc/commandsRd/plot.surv.pdf differ
diff --git a/inst/doc/commandsRd/plot.surv.tex b/inst/doc/commandsRd/plot.surv.tex
index 3f44334..e8c7b82 100644
--- a/inst/doc/commandsRd/plot.surv.tex
+++ b/inst/doc/commandsRd/plot.surv.tex
@@ -27,7 +27,7 @@ confidence intervals or polygon survival regions for Kaplan-Meier survival curve
Zelig manual (\url{http://gking.harvard.edu/zelig}).
\end{Value}
\begin{Author}\relax
-John A. Graves <\email{graveja0 at gmail.com}>
+John A. Graves \textless{}\email{graveja0 at gmail.com}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual is available at
diff --git a/inst/doc/commandsRd/plot.zelig.pdf b/inst/doc/commandsRd/plot.zelig.pdf
index 71d46d4..26fb7bc 100644
Binary files a/inst/doc/commandsRd/plot.zelig.pdf and b/inst/doc/commandsRd/plot.zelig.pdf differ
diff --git a/inst/doc/commandsRd/plot.zelig.tex b/inst/doc/commandsRd/plot.zelig.tex
index 73bb66d..31e9c7e 100644
--- a/inst/doc/commandsRd/plot.zelig.tex
+++ b/inst/doc/commandsRd/plot.zelig.tex
@@ -37,8 +37,8 @@ interest. You may save these plots using the commands described in
the Zelig manual (available at \url{http://gking.harvard.edu/zelig}).
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual at
diff --git a/inst/doc/commandsRd/put.start.pdf b/inst/doc/commandsRd/put.start.pdf
index e04d0f7..6130d2d 100644
Binary files a/inst/doc/commandsRd/put.start.pdf and b/inst/doc/commandsRd/put.start.pdf differ
diff --git a/inst/doc/commandsRd/put.start.tex b/inst/doc/commandsRd/put.start.tex
index d276233..21a7a23 100644
--- a/inst/doc/commandsRd/put.start.tex
+++ b/inst/doc/commandsRd/put.start.tex
@@ -22,9 +22,9 @@ the default values with \code{value}
A vector of starting values (of the same length as \code{start.val})
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{set.start}{set.start}}, and the full Zelig manual at
diff --git a/inst/doc/commandsRd/repl.pdf b/inst/doc/commandsRd/repl.pdf
index b2d8d8d..a7097fc 100644
Binary files a/inst/doc/commandsRd/repl.pdf and b/inst/doc/commandsRd/repl.pdf differ
diff --git a/inst/doc/commandsRd/repl.tex b/inst/doc/commandsRd/repl.tex
index b453648..0284a5a 100644
--- a/inst/doc/commandsRd/repl.tex
+++ b/inst/doc/commandsRd/repl.tex
@@ -65,8 +65,8 @@ random approximation error. As the number of simulations increases,
this error decreases.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{zelig}{zelig}}, \code{\LinkA{setx}{setx}}, and
diff --git a/inst/doc/commandsRd/rocplot.pdf b/inst/doc/commandsRd/rocplot.pdf
index 41deb9b..4de3e53 100644
Binary files a/inst/doc/commandsRd/rocplot.pdf and b/inst/doc/commandsRd/rocplot.pdf differ
diff --git a/inst/doc/commandsRd/rocplot.tex b/inst/doc/commandsRd/rocplot.tex
index 7fa25b6..3a6001d 100644
--- a/inst/doc/commandsRd/rocplot.tex
+++ b/inst/doc/commandsRd/rocplot.tex
@@ -65,8 +65,8 @@ Reimann sums.
\end{ldescription}
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual (available at
diff --git a/inst/doc/commandsRd/sanction.pdf b/inst/doc/commandsRd/sanction.pdf
index 2a4f1bd..b54a5b7 100644
Binary files a/inst/doc/commandsRd/sanction.pdf and b/inst/doc/commandsRd/sanction.pdf differ
diff --git a/inst/doc/commandsRd/set.start.pdf b/inst/doc/commandsRd/set.start.pdf
index 26f242f..fb0666d 100644
Binary files a/inst/doc/commandsRd/set.start.pdf and b/inst/doc/commandsRd/set.start.pdf differ
diff --git a/inst/doc/commandsRd/set.start.tex b/inst/doc/commandsRd/set.start.tex
index bbd3060..b9ba2f4 100644
--- a/inst/doc/commandsRd/set.start.tex
+++ b/inst/doc/commandsRd/set.start.tex
@@ -22,9 +22,9 @@ starting values for all parameters are set to 0.
A named vector of starting values for all parameters specified in \code{terms}, defaulting to 0.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>; Ferdinand Alimadhi
-<\email{falimadhi at iq.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}; Ferdinand Alimadhi
+\textless{}\email{falimadhi at iq.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{put.start}{put.start}}, \code{\LinkA{parse.par}{parse.par}}, \code{\LinkA{model.frame.multiple}{model.frame.multiple}}, and the
diff --git a/inst/doc/commandsRd/setx.pdf b/inst/doc/commandsRd/setx.pdf
index 21b2e31..bcd1e82 100644
Binary files a/inst/doc/commandsRd/setx.pdf and b/inst/doc/commandsRd/setx.pdf differ
diff --git a/inst/doc/commandsRd/setx.tex b/inst/doc/commandsRd/setx.tex
index c9917d9..3353b03 100644
--- a/inst/doc/commandsRd/setx.tex
+++ b/inst/doc/commandsRd/setx.tex
@@ -66,8 +66,8 @@ the \code{by} option in \code{zelig}), \code{setx} returns the
observed explanatory variables in each subset.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual may be accessed online at
diff --git a/inst/doc/commandsRd/sim.pdf b/inst/doc/commandsRd/sim.pdf
index 9194764..0a64c65 100644
Binary files a/inst/doc/commandsRd/sim.pdf and b/inst/doc/commandsRd/sim.pdf differ
diff --git a/inst/doc/commandsRd/sim.tex b/inst/doc/commandsRd/sim.tex
index 6c6050b..e406e3c 100644
--- a/inst/doc/commandsRd/sim.tex
+++ b/inst/doc/commandsRd/sim.tex
@@ -123,8 +123,8 @@ above from \code{s.out}. For example, \code{s.out\$qi\$ev} extracts the
simulated expected values.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig at \url{http://gking.harvard.edu/zelig}, and \code{boot}.
diff --git a/inst/doc/commandsRd/sna.ex.pdf b/inst/doc/commandsRd/sna.ex.pdf
index bd76ba9..084f876 100644
Binary files a/inst/doc/commandsRd/sna.ex.pdf and b/inst/doc/commandsRd/sna.ex.pdf differ
diff --git a/inst/doc/commandsRd/summary.zelig.pdf b/inst/doc/commandsRd/summary.zelig.pdf
index cffd7d0..7e0548e 100644
Binary files a/inst/doc/commandsRd/summary.zelig.pdf and b/inst/doc/commandsRd/summary.zelig.pdf differ
diff --git a/inst/doc/commandsRd/summary.zelig.tex b/inst/doc/commandsRd/summary.zelig.tex
index 5120638..fd2ef56 100644
--- a/inst/doc/commandsRd/summary.zelig.tex
+++ b/inst/doc/commandsRd/summary.zelig.tex
@@ -42,8 +42,8 @@ differences etc.
\end{ldescription}
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{zelig}{zelig}}, \code{\LinkA{setx}{setx}}, \code{\LinkA{sim}{sim}},
diff --git a/inst/doc/commandsRd/swiss.pdf b/inst/doc/commandsRd/swiss.pdf
index aada4b2..2b3f32b 100644
Binary files a/inst/doc/commandsRd/swiss.pdf and b/inst/doc/commandsRd/swiss.pdf differ
diff --git a/inst/doc/commandsRd/ternaryplot.pdf b/inst/doc/commandsRd/ternaryplot.pdf
index bbf61c5..93d85a9 100644
Binary files a/inst/doc/commandsRd/ternaryplot.pdf and b/inst/doc/commandsRd/ternaryplot.pdf differ
diff --git a/inst/doc/commandsRd/ternarypoints.pdf b/inst/doc/commandsRd/ternarypoints.pdf
index 7d052c8..0529b71 100644
Binary files a/inst/doc/commandsRd/ternarypoints.pdf and b/inst/doc/commandsRd/ternarypoints.pdf differ
diff --git a/inst/doc/commandsRd/ternarypoints.tex b/inst/doc/commandsRd/ternarypoints.tex
index ddc3cd9..0ae9364 100644
--- a/inst/doc/commandsRd/ternarypoints.tex
+++ b/inst/doc/commandsRd/ternarypoints.tex
@@ -28,8 +28,8 @@ ternary diagram. Use \code{ternaryplot} in the \code{vcd} library to
generate the main ternary diagram.
\end{Value}
\begin{Author}\relax
-Kosuke Imai <\email{kimai at princeton.edu}>; Gary King
-<\email{king at harvard.edu}>; Olivia Lau <\email{olau at fas.harvard.edu}>
+Kosuke Imai \textless{}\email{kimai at princeton.edu}\textgreater{}; Gary King
+\textless{}\email{king at harvard.edu}\textgreater{}; Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
The full Zelig manual at
diff --git a/inst/doc/commandsRd/tobin.pdf b/inst/doc/commandsRd/tobin.pdf
index 9135975..2a80eab 100644
Binary files a/inst/doc/commandsRd/tobin.pdf and b/inst/doc/commandsRd/tobin.pdf differ
diff --git a/inst/doc/commandsRd/turnout.pdf b/inst/doc/commandsRd/turnout.pdf
index cb635b4..87b4ce6 100644
Binary files a/inst/doc/commandsRd/turnout.pdf and b/inst/doc/commandsRd/turnout.pdf differ
diff --git a/inst/doc/commandsRd/user.prompt.pdf b/inst/doc/commandsRd/user.prompt.pdf
index 0cae981..4647747 100644
Binary files a/inst/doc/commandsRd/user.prompt.pdf and b/inst/doc/commandsRd/user.prompt.pdf differ
diff --git a/inst/doc/commandsRd/user.prompt.tex b/inst/doc/commandsRd/user.prompt.tex
index c5a6cd9..2226c70 100644
--- a/inst/doc/commandsRd/user.prompt.tex
+++ b/inst/doc/commandsRd/user.prompt.tex
@@ -10,7 +10,7 @@ user.prompt()
\end{verbatim}
\end{Usage}
\begin{Author}\relax
-Olivia Lau <\email{olau at fas.harvard.edu}>
+Olivia Lau \textless{}\email{olau at fas.harvard.edu}\textgreater{}
\end{Author}
\begin{SeeAlso}\relax
\code{readline}
diff --git a/inst/doc/commandsRd/voteincome.pdf b/inst/doc/commandsRd/voteincome.pdf
index 0cfec99..dc3e296 100644
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index dbcce49..5fae6b7 100644
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index 6c6630e..33e116b 100644
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index 937bee8..7bdb6e1 100644
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index 344cdbf..2e76dfc 100644
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diff --git a/inst/doc/ei.RxC.pdf b/inst/doc/ei.RxC.pdf
index 923035d..a59c5e6 100644
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index ab0f789..56315ae 100644
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index 2d6ccd9..87e6986 100644
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index 636e9b2..c38a001 100644
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diff --git a/inst/doc/factor.bayes.pdf b/inst/doc/factor.bayes.pdf
index cff1b5e..f1e3f60 100644
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diff --git a/inst/doc/factor.mix.pdf b/inst/doc/factor.mix.pdf
index e2caf2c..9ab7e01 100644
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index 83aa9c3..779c1db 100644
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diff --git a/inst/doc/gamma.gee.pdf b/inst/doc/gamma.gee.pdf
index 3cea3f5..5260caa 100644
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diff --git a/inst/doc/gamma.mixed.pdf b/inst/doc/gamma.mixed.pdf
index 6afd44e..e0b40a5 100644
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diff --git a/inst/doc/gamma.net.pdf b/inst/doc/gamma.net.pdf
index b589554..3891259 100644
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diff --git a/inst/doc/gamma.pdf b/inst/doc/gamma.pdf
index 057825b..aea5313 100644
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diff --git a/inst/doc/gamma.survey.Rnw b/inst/doc/gamma.survey.Rnw
index d19973a..586601d 100644
--- a/inst/doc/gamma.survey.Rnw
+++ b/inst/doc/gamma.survey.Rnw
@@ -488,17 +488,14 @@ are therefore advised to re-name any object called {\tt .survey.prob.weights} be
by \citet{VenRip02}. Advanced users may wish to refer to
\texttt{help(glm)} and \texttt{help(family)}, as well as
\cite{McCNel89}.
-
-
-
-
-
- \bibliographystyle{asa}
- \bibliography{gk,gkpubs}
- <<afterpkgs, echo=FALSE>>=
+
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+
+<<afterpkgs, echo=FALSE>>=
after<-search()
torm<-setdiff(after,before)
for (pkg in torm)
detach(pos=match(pkg,search()))
- @
+@
\end{document}
diff --git a/inst/doc/gamma.survey.pdf b/inst/doc/gamma.survey.pdf
index 525d0bc..9ea2b0e 100644
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diff --git a/inst/doc/index.shtml b/inst/doc/index.shtml
index 84bad68..d756a5c 100644
--- a/inst/doc/index.shtml
+++ b/inst/doc/index.shtml
@@ -9,12 +9,12 @@
<a href="http://www.princeton.edu/~kimai/">Kosuke Imai</a>,
<a href="/">Gary King</a>,
-<a href="http://www.people.fas.harvard.edu/~olau/">Olivia Lau</a>
+<a href="http://www.olivialau.org">Olivia Lau</a>
<br /><br />
<!-- rbuild: replace 'Version:' '</b>' version -->
-<b>Version:3.4-5</b>
+<b>Version:3.4-6</b>
<!-- rbuild: replace 'Zelig_' '.tar.gz' version -->
-<a href="/src/contrib/Zelig_3.4-5.tar.gz">(Download)</a>
+<a href="/src/contrib/Zelig_3.4-6.tar.gz">(Download)</a>
<a href="docs/static/whatsnew.pdf"> (What's new) </a>
<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/irt1d.pdf b/inst/doc/irt1d.pdf
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index aab2da5..10becbc 100644
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index 44586a7..541514f 100644
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index 541d667..7a156f1 100644
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index b42be8e..b30c22d 100644
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diff --git a/inst/doc/logit.mixed.pdf b/inst/doc/logit.mixed.pdf
index 80d9dd0..ad7a2a2 100644
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diff --git a/inst/doc/logit.net.pdf b/inst/doc/logit.net.pdf
index 7550695..851b21e 100644
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index 1c263fb..3219642 100644
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diff --git a/inst/doc/logit.survey.Rnw b/inst/doc/logit.survey.Rnw
index 897e82b..53162c3 100644
--- a/inst/doc/logit.survey.Rnw
+++ b/inst/doc/logit.survey.Rnw
@@ -508,16 +508,13 @@ are therefore advised to re-name any object called {\tt .survey.prob.weights} be
\texttt{help(glm)} and \texttt{help(family)}, as well as
\cite{McCNel89}.
-
-
-
-
- \bibliographystyle{asa}
- \bibliography{gk,gkpubs}
- <<afterpkgs, echo=FALSE>>=
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+<<afterpkgs, echo=FALSE>>=
after<-search()
torm<-setdiff(after,before)
for (pkg in torm)
detach(pos=match(pkg,search()))
- @
- \end{document}
+@
+
+\end{document}
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index af5297b..0000000
--- a/inst/doc/mloglm.Rnw
+++ /dev/null
@@ -1,123 +0,0 @@
-\SweaveOpts{results=hide, prefix.string=vigpics/mloglm}
-\include{zinput}
-%\VignetteIndexEntry{Multinomial Log-Linear Regression for Contingency Table Models}
-%\VignetteDepends{Zelig}
-%\VignetteKeyWords{model, log-linear,multinomial, regression, contingency table}
-%\VignettePackage{Zelig}
-\begin{document}
-\nobibliography*
-<<beforepkgs, echo=FALSE>>=
- before=search()
-@
-
-<<loadLibrary, echo=F,results=hide>>=
-library(Zelig)
-@
-
-\section{{\tt mloglm}: Multinomial Log-Linear Regression
-for Contingency Table Models}\label{mloglm}
-
-Log-linear models are for modeling contingency tables, the
-cross-tabulation of discrete individual-level variables. Contingency
-table models take as the ``unit of analysis'' for the purpose of the
-statistical procedure, the cell of a contingency table. The
-``dependent variable'' is then the count within each cell, and the
-explanatory variables indicate what categories the cells fall into.
-These models are highly efficient computationally since there are so
-few ``observations,'' but they are asymptotically equivalent to
-logistic regression models run on the unpacked individual level data.
-
-\subsubsection{Syntax}
-
-\begin{verbatim}
-> estimate <- zelig(Y ~ X1 + X2, model = "mloglm", data = mydata)
-> Xval <- setx(estimate)
-> results <- sim(estimate, x = Xval)
-\end{verbatim}
-
-\subsubsection{Examples}
-
-\subsubsection{Model}
-
-\subsubsection{Quantities of Interest}
-
-\subsubsection{Output Values}
-
-The output of each Zelig command contains useful information which you
-may view. For example, if you run \texttt{estimate <- zelig(y \~\,
- x, model = "mloglm", data)}, then you may examine the available
-information in \texttt{estimate} by using \texttt{names(estimate)},
-see the {\tt coefficients} by using {\tt estimate\$coefficients}, and
-a default summary of information through \texttt{summary(estimate)}.
-Other elements available through the {\tt \$} operator are listed
-below.
-
-\begin{itemize}
-\item From the {\tt zelig()} output stored in {\tt estimate}, you may extract:
- \begin{itemize}
- \item {\tt coefficients}: parameter estimates for the explanatory
- variables.
- \item {\tt deviance}: the residual deviance.
- \item {\tt fitted.values}: the $n \times m$ matrix of in-sample
- fitted values.
- \item {\tt df.residual}: the residual degrees of freedom.
- \item {\tt edf}: the effective degrees of freedom.
- \item {\tt AIC}: Akaike's An Information Criterion (minus twice the
- maximized log-likelihood plus twice the number of coefficients).
- \item {\tt Hessian}: the Hessian matrix.
- \end{itemize}
-
-\item From {\tt summary(estimate)}, you may extract:
- \begin{itemize}
- \item {\tt coefficients}: the parameter estimates with their
- associated standard errors, $p$-values, and $t$-statistics.
- covariances.
- \end{itemize}
-
-\item From the {\tt sim()} output stored in {\tt results}:
- \begin{itemize}
- \item {\tt qi\$ev}: the simulated expected (or fitted values) for
- the specified values of {\tt x}.
- \item {\tt qi\$rd}: the difference in the expected values (or first
- difference) for the values specified in {\tt x} and
- {\tt x1}.
- \end{itemize}
-\end{itemize}
-
-\subsection*{How to Cite}
-\input{cites/mloglm}
-\input{citeZelig}
-\subsection*{See also}
-The multinomial logit model is part of the nnet library by Brian D.
-Ripley. \citep{Ripley1996}.Advanced users may wish to refer to the R-help for
-\texttt{help(multinom)} and \cite{VenRip2002}
-
-\bibliographystyle{asa}
-\bibliography{gk,gkpubs}
-<<afterpkgs, echo=FALSE>>=
- after<-search()
- torm<-setdiff(after,before)
- for (pkg in torm)
- detach(pos=match(pkg,search()))
-@
- \end{document}
-
-
-%%% Local Variables:
-%%% mode: latex
-%%% TeX-master: t
-%%% TeX-master: t
-%%% End:
-
-
-
-
-
-
-
-
-
-
-
-
-
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--- a/inst/doc/normal.survey.Rnw
+++ b/inst/doc/normal.survey.Rnw
@@ -500,14 +500,12 @@ are therefore advised to re-name any object called {\tt .survey.prob.weights} be
-
-
- \bibliographystyle{asa}
- \bibliography{gk,gkpubs}
- <<afterpkgs, echo=FALSE>>=
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+<<afterpkgs, echo=FALSE>>=
after<-search()
torm<-setdiff(after,before)
for (pkg in torm)
detach(pos=match(pkg,search()))
- @
- \end{document}
+@
+\end{document}
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diff --git a/inst/doc/oprobit.Rnw b/inst/doc/oprobit.Rnw
index a468e7a..ba6174e 100644
--- a/inst/doc/oprobit.Rnw
+++ b/inst/doc/oprobit.Rnw
@@ -204,7 +204,8 @@ below.
fitted values.
\item {\tt predictors}: an $n \times (J-1)$ matrix of the linear
predictors $x_i \beta_j$.
- \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.
+ \item {\tt residuals}: an $n \times (J-1)$ matrix of the residuals.
+ \itme {\tt zeta}: a vector containing the estimated class boundaries.
\item {\tt df.residual}: the residual degrees of freedom.
\item {\tt df.total}: the total degrees of freedom.
\item {\tt rss}: the residual sum of squares.
diff --git a/inst/doc/oprobit.bayes.pdf b/inst/doc/oprobit.bayes.pdf
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--- a/inst/doc/poisson.survey.Rnw
+++ b/inst/doc/poisson.survey.Rnw
@@ -500,17 +500,14 @@ are therefore advised to re-name any object called {\tt .survey.prob.weights} be
by \citet{VenRip02}. Advanced users may wish to refer to
\texttt{help(glm)} and \texttt{help(family)}, as well as
\cite{McCNel89}.
-
-
-
-
-
- \bibliographystyle{asa}
- \bibliography{gk,gkpubs}
- <<afterpkgs, echo=FALSE>>=
+
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+<<afterpkgs, echo=FALSE>>=
after<-search()
torm<-setdiff(after,before)
for (pkg in torm)
detach(pos=match(pkg,search()))
- @
- \end{document}
+@
+
+\end{document}
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+++ b/inst/doc/probit.survey.Rnw
@@ -507,17 +507,15 @@ are therefore advised to re-name any object called {\tt .survey.prob.weights} be
by \citet{VenRip02}. Advanced users may wish to refer to
\texttt{help(glm)} and \texttt{help(family)}, as well as
\cite{McCNel89}.
-
-
-
-
-
- \bibliographystyle{asa}
- \bibliography{gk,gkpubs}
- <<afterpkgs, echo=FALSE>>=
+
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+
+<<afterpkgs, echo=FALSE>>=
after<-search()
torm<-setdiff(after,before)
for (pkg in torm)
detach(pos=match(pkg,search()))
- @
- \end{document}
+@
+
+\end{document}
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index 0000000..602e7ec
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@@ -0,0 +1,341 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/quantile}
+\include{zinput}
+%\VignetteIndexEntry{Quantile Regression for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats, quantreg}
+%\VignetteKeyWords{model, quantile,continuous, regression}
+%\VignettePackage{Zelig}
+\begin{document}
+\nobibliography*
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+library(Zelig)
+@
+
+\section{{\tt quantile}: Quantile Regression for Continuous
+Dependent Variables}
+\label{ls}
+
+Use a linear programming implementation of quantile regression to
+estimate a linear predictor of the $\tau$th conditional quantile of the
+population.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "quantile", data = mydata, tau = 0.5)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for quantile regression:
+\begin{itemize}
+\item {\tt tau}: defaults to 0.5. Specifies the conditional quantile(s)
+that will be estimated. 0.5 corresponds to estimating the conditional
+median, 0.25 and 0.75 correspond to the conditional quartiles, etc. If
+{\tt tau} is a vector, the conditional quantile function at each tau is
+estimated. If tau is set outside of the interval [0,1], zelig returns
+the solution for all possible conditional quantiles given the data, but
+does not support inference on this fit ({\tt setx} and {\tt sim} will fail).
+
+\item {\tt se}: a string value that defaults to "nid". Specifies the
+method by which the covariance matrix of coefficients is estimated during
+the {\tt sim} stage of analysis. {\tt se}
+can take the following values, which are passed to the {\tt summary.rq}
+function from the {\tt quantreg} package. These descriptions are copied from
+the {\tt summary.rq} documentation.
+\begin{itemize}
+ \item {\tt "iid"} which presumes that the errors are iid and computes
+ an estimate of the asymptotic covariance matrix as in KB(1978).
+
+ \item {\tt "nid"} which presumes local (in {\tt tau})
+ linearity (in {\tt x}) of the
+ the conditional quantile functions and computes a Huber
+ sandwich estimate using a local estimate of the sparsity.
+
+ \item {\tt "ker"} which uses a kernel estimate of the sandwich
+ as proposed by Powell(1990).
+\end{itemize}
+\item {\tt \dots}: additional options passed to {\tt rq} when fitting the model.
+See documentation for {\tt rq} in the {\tt quantreg} package for more information.
+\end{itemize}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data, in this case a dataset pertaining to the efficiency of plants
+that convert ammonia to nitric acid. The dependent variable, stack.loss, is 10 times
+the percentage of ammonia that escaped unconverted:
+<<Examples.data>>=
+ data(stackloss)
+@
+Estimate model:
+<<Examples.zelig>>=
+ z.out1 <- zelig(stack.loss ~ Air.Flow + Water.Temp + Acid.Conc., model = "quantile",
+ data = stackloss, tau=0.5)
+@
+Summarize regression coefficients:
+<<Examples.summary>>=
+ summary(z.out1)
+@
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for the water temperature
+variable (the variable that indiates the temperature of water in the plant's cooling
+coils):
+<<Examples.setx>>=
+ x.high <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.8))
+ x.low <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.2))
+@
+Generate first differences for the effect of high versus low water temperature on
+stack loss:
+<<Examples.sim>>=
+ s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+@
+<<Examples.summary.sim>>=
+summary(s.out1)
+@
+\begin{center}
+<<label=ExamplesPlot,fig=true,echo=true,width=5.5,height=4>>=
+ plot(s.out1)
+@
+\end{center}
+
+\item Using Dummy Variables
+
+We can estimate a model of unemployment as a function of macroeconomic indicators
+and fixed effects for each country (see \Sref{factors} for help with dummy variables).
+Note that you do not need to create dummy variables, as the program will automatically
+parse the unique values in the selected variable into discrete levels.
+<<Dummy.zelig>>=
+ data(macro)
+ z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(country),
+ model = "quantile", tau=0.5, data = macro)
+@
+Set values for the explanatory variables, using the default mean/mode
+values, with country set to the United States and Japan, respectively:
+<<Dummy.setx>>=
+ x.US <- setx(z.out2, country = "United States")
+ x.Japan <- setx(z.out2, country = "Japan")
+@
+Simulate quantities of interest:
+<<Dummy.sim>>=
+ s.out2 <- sim(z.out2, x = x.US, x1 = x.Japan)
+@
+\begin{center}
+<<label=DummyPlot,fig=true,echo=true, width=5.5, height=4>>=
+ plot(s.out2)
+@
+\end{center}
+
+\item Estimating Multiple Quantiles
+
+Using the Engel dataset on food expenditure as a function of income, we can use the
+{\tt "quantile"} model to estimate multiple conditional quantiles:
+<<Multiple.zelig>>=
+ data(engel)
+ z.out3 <- zelig(foodexp ~ income, model = "quantile", tau=seq(0.1,0.9,by=0.1), data = engel)
+@
+We can summarize the coefficient fits, or plot them to compare them to the least squares
+conditional mean estimator.
+<<Multiple.zelig.summary>>=
+ summary(z.out3)
+@
+\begin{center}
+<<label=MultiplePlot,fig=true,echo=true,width=5.5,height=4>>=
+ plot(summary(z.out3))
+@
+\end{center}
+Set the value of income to the top quartile and the bottom quartile of
+the income distribution for each fit:
+<<Multiple.setx>>=
+ x.bottom <- setx(z.out3, income=quantile(engel$income, 0.25))
+ x.top <- setx(z.out3, income=quantile(engel$income, 0.75))
+@
+Simulate quantities of interest for each fit simultaneously:
+<<Multiple.sim>>=
+ s.out3 <- sim(z.out3, x = x.bottom, x1 = x.top)
+@
+Summary
+<<Example4.sim.summary>>=
+summary(s.out3)
+@
+
+\end{enumerate}
+
+\subsubsection{Model}
+The quantile estimator is best introduced by considering the sample median
+estimator and comparing it to the sample mean estimator.
+To find the mean of a sample, we solve
+for the quantity $\mu$ which minimizes the sum squared residuals:
+\begin{eqnarray*}
+ \mu &=& \arg\min_\mu \sum_i (y_i-\mu)^2
+\end{eqnarray*}
+Estimating a quantile is similar, but we solve for $\xi$ which minimizes the
+sum absolute residuals:
+\begin{eqnarray*}
+ \xi &=& \arg\min_\xi \sum_i |y_i-\xi|
+\end{eqnarray*}
+One can confirm the equivalence of these optimization problems and the standard
+mean and median operators by taking the derivative with respect to the argument
+and setting it to zero.
+
+The relationship between quantile regression and ordinary least squares regression
+is analogous to the relationship between the sample median and the sample mean, except
+we are now solving for the conditional median or conditional mean given covariates and
+a linear functional form. The optimization problems for the sample mean and median
+are then easily generalized to optimization problems for
+estimating \emph{conditional} means or medians by replacing $\mu$ or $\xi$
+with a linear combination of covariates $X'\beta$:
+\begin{eqnarray}
+ \hat\beta_\mathrm{mean} &=& \arg\min_\beta \sum_i (Y_i-X_i'\beta)^2 \nonumber \\
+ \hat\beta_\mathrm{median} &=& \arg\min_\beta \sum_i |Y_i-X_i'\beta| \label{median}
+\end{eqnarray}
+Equation \ref{median} can be generalized to provide any quantile of the conditional
+distribution, not just the median. We do this by weighting the aboslute value function
+asymmetrically in proportion to the requested $\tau$th quantile:
+\begin{eqnarray}
+ \hat\beta_{\tau} &=& \arg\max_\beta \sum \rho(Y_i-X_i'\beta) \label{beta}\\
+ \rho &=& \tau(1-I(Y-X_i'\beta > 0)) + (1-\tau)I(Y-X_i'\beta > 0) \nonumber
+\end{eqnarray}
+We call the asymmetric absolute value function a ``check function''. This optimization
+problem has no closed form solution and is solved via linear programming.
+
+Equation \ref{beta} now lets us define a conditional quantile estimator.
+Suppose that for a given set of covariates $x$, the response variable $Y$ has as true
+conditional probability distribution $f(\theta | x)$ where $f$ can be any probability
+density function parametrized by a vector of parameters $\theta$.
+This density function defines a value $Q_\tau(\theta|x)$, the true $\tau$th population
+quantile given $x$. We can write our conditional quantile estimator $\hat Q_\tau(\theta|x)$ as:
+\begin{eqnarray*}
+\hat Q_\tau(\theta|x) &=& x'\hat\beta_\tau
+\end{eqnarray*}
+Where $\hat\beta$ is the vector that solves equation \ref{beta}.
+Because we solve for the estimator $\hat Q_\tau$ without constructing a likelihood function,
+it is not straightforward to specify a systematic and stochastic component for conditional
+quantile estimates. However, systematic and stochastic components do emerge asymptotically
+in the large-$n$ limit. Asymptotically, $\hat Q_\tau$ is normally distributed, and can be
+written with \emph{stochastic component}
+\begin{eqnarray*}
+ \hat Q_\tau &\sim& \mathcal{N}(\mu, \sigma^2),
+\end{eqnarray*}
+And \emph{systematic components}
+\begin{eqnarray*}
+ \mu &=& x'\hat\beta_\tau\\
+ \sigma^2 &=& \frac{\tau(1-\tau)}{n f^2},
+\end{eqnarray*}
+Where $n$ is the number of
+datapoints, and $f$ is the true population density at the $\tau$th conditional quantile.
+Zelig uses this asymptotic approximation of stochastic and systematic components in
+simulation and numerically estimates the population density to derive $\sigma^2$. The
+simulation results should thus be treated with caution when using small datasets as both
+this asymptotic approximation and the population density approximation can break down.
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations from the stochastic
+component,
+\begin{equation*}
+E(\hat Q_\tau) = x_i \beta_\tau,
+\end{equation*}
+given a draw of $\beta_\tau$ from its sampling distribution. Variation in the expected
+value distribution comes from estimation uncertainty of $\beta_\tau$.
+
+\item The predicted value ({\tt qi\$pr}) is the result of a single draw from the
+stochastic component given a draw of $\beta_\tau$ from its sampling distribution. The
+distribution of predicted values should be centered around the same place as the
+expected values but have larger variance because it includes both estimation
+uncertainty and fundamental uncertainty.
+
+\item This model does not support conditional prediction.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, if you run \texttt{z.out <- zelig(y \~\,
+ x, model = "ls", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+ \item {\tt zelig()} will return an object {\tt z.out}, which is of class
+ {\tt rq} (when {\tt tau} specifies a single quantile), {\tt rqs} (when {\tt tau}
+ specifies multiple quantiles), or {\tt rq.process} (when {\tt tau} is a value
+ outside of $[0,1]$. The {\tt rq} and {\tt rqs} objects are supported by Zelig's
+ prediction utilities, but {\tt rq.process} is not. These objects maintain the
+ same functionality that they have in the {\tt quantreg} package -- for example,
+ one can call the {\tt summary} or {\tt plot} methods on them directly.
+ See documentation for {\tt rq} from package {\tt quantreg} for details.
+ The following information can be extracted directly from the {\tt z.out}
+ object:
+ \begin{itemize}
+ \item {\tt coefficients}: parameter estimates for the explanatory
+ variables.
+ \item {\tt residuals}: vector of differences between $Y$ and $X'\beta_\tau$.
+ \item {\tt fitted.values}: fitted values given by $X'\beta_\tau$.
+ \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.
+ \end{itemize}
+
+\item When {\tt zelig} was called with a single {\tt tau} value,
+ {\tt summary(z.out)} returns a {\tt summary.rq} object. When {\tt zelig}
+ was called with $\tau$ as a vector, {\tt summary(z.out)} returns a list
+ of {\tt summary.rq} objects. From each {\tt summary.rq} object you may
+ extract:
+ \begin{itemize}
+ \item {\tt coefficients}: the parameter estimates with their 95 percent
+ confidence intervals. The user can also obtain standard errors and p-values
+ by specifying the {\tt se} argument to {\tt summary}. See documentation
+ for {\tt summary.rq} in the {\tt quantreg} package for details.
+ \item {\tt rdf}: the residual degrees of freedom.
+ \item{\tt cov}: a $k \times k$ matrix of unscaled covariances. To obtain
+ this attribute, the user must specify {\tt cov=TRUE} as an argument to
+ {\tt summary}. See documentation for {\tt summary.rq} in the
+ {\tt quantreg} package for details.
+ \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+ quantities of interest arranged as matrices indexed by simulation
+ $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+ Available quantities are:
+
+ \begin{itemize}
+ \item {\tt qi\$ev}: the simulated expected values for the specified
+ values of {\tt x}.
+ \item {\tt qi\$pr}: the simulated predicted values for the specified
+ values of {\tt x}.
+ \item {\tt qi\$fd}: the simulated first differences (or
+ differences in expected values) for the specified values of {\tt
+ x} and {\tt x1}.
+ \end{itemize}
+\end{itemize}
+
+\subsection* {How to Cite}
+%#\input{cites/ls}
+\input{citeZelig}
+
+\subsection* {See also}
+The quantile regression package {\tt quantreg} by Richard Koenker. In addition, advanced users may wish to refer to \texttt{help(rq)}, \texttt{help(summary.rq)} and \texttt{help(rq.object)}.
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End:
diff --git a/inst/doc/quantile.pdf b/inst/doc/quantile.pdf
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diff --git a/inst/doc/refman.tex b/inst/doc/refman.tex
index a906abd..2f13dd7 100644
--- a/inst/doc/refman.tex
+++ b/inst/doc/refman.tex
@@ -116,7 +116,6 @@ of simulations increases.
\include{ls.net}
\include{mlogit}
\include{mlogit.bayes}
-\include{mloglm}
\include{negbin}
\include{normal}
\include{normal.bayes}
diff --git a/inst/doc/relogit.pdf b/inst/doc/relogit.pdf
index 5366d71..137f1de 100644
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diff --git a/inst/doc/rq.Rnw b/inst/doc/rq.Rnw
new file mode 100644
index 0000000..c7a573b
--- /dev/null
+++ b/inst/doc/rq.Rnw
@@ -0,0 +1,332 @@
+\SweaveOpts{results=hide, prefix.string=vigpics/rq}
+\include{zinput}
+%\VignetteIndexEntry{Quantile Regression for Continuous Dependent Variables}
+%\VignetteDepends{Zelig, stats, quantreg}
+%\VignetteKeyWords{model, quantile,continuous, regression}
+%\VignettePackage{Zelig}
+\begin{document}
+\nobibliography*
+<<beforepkgs, echo=FALSE>>=
+ before=search()
+@
+
+<<loadLibrary, echo=F,results=hide>>=
+library(Zelig)
+@
+
+\section{{\tt rq}: Quantile Regression for Continuous
+Dependent Variables}
+\label{ls}
+
+Use a linear programming implementation of quantile regression to
+estimate a linear predictor of the $\tau$th conditional quantile of the
+population.
+
+\subsubsection{Syntax}
+
+\begin{verbatim}
+> z.out <- zelig(Y ~ X1 + X2, model = "rq", data = mydata, tau = 0.5)
+> x.out <- setx(z.out)
+> s.out <- sim(z.out, x = x.out)
+\end{verbatim}
+
+\subsubsection{Additional Inputs}
+
+In addition to the standard inputs, {\tt zelig()} takes the following
+additional options for quantile regression:
+\begin{itemize}
+\item {\tt tau}: defaults to 0.5. Specifies the conditional quantile(s)
+that will be estimated. 0.5 corresponds to estimating the conditional
+median, 0.25 and 0.75 correspond to the conditional quartiles, etc. If
+{\tt tau} is a vector, the conditional quantile function at each tau is
+estimated. If tau is set outside of the interval [0,1], zelig returns
+the solution for all possible conditional quantiles given the data, but
+does not support inference on this fit ({\tt setx} and {\tt sim} will fail).
+
+\item {\tt se}: a string value that defaults to "nid". Specifies the
+method by which the covariance matrix of coefficients is estimated during
+the {\tt sim} stage of analysis. {\tt se}
+can take the following values, which are passed to the {\tt summary.rq}
+function from the {\tt quantreg} package. These descriptions are copied from
+the {\tt summary.rq} documentation.
+\begin{itemize}
+ \item {\tt "iid"} which presumes that the errors are iid and computes
+ an estimate of the asymptotic covariance matrix as in KB(1978).
+
+ \item {\tt "nid"} which presumes local (in {\tt tau})
+ linearity (in {\tt x}) of the
+ the conditional quantile functions and computes a Huber
+ sandwich estimate using a local estimate of the sparsity.
+
+ \item {\tt "ker"} which uses a kernel estimate of the sandwich
+ as proposed by Powell(1990).
+\end{itemize}
+\item {\tt \dots}: additional options passed to {\tt rq} when fitting the model.
+See documentation for {\tt rq} in the {\tt quantreg} package for more information.
+\end{itemize}
+
+\subsubsection{Examples}
+\begin{enumerate}
+\item Basic Example with First Differences
+
+Attach sample data, in this case a dataset pertaining to the efficiency of plants
+that convert ammonia to nitric acid. The dependent variable, stack.loss, is 10 times
+the percentage of ammonia that escaped unconverted:
+<<Examples.data>>=
+ data(stackloss)
+@
+Estimate model:
+<<Examples.zelig>>=
+ z.out1 <- zelig(stack.loss ~ Air.Flow + Water.Temp + Acid.Conc., model = "rq",
+ data = stackloss, tau=0.5)
+@
+Summarize regression coefficients:
+<<Examples.summary>>=
+ summary(z.out1)
+@
+Set explanatory variables to their default (mean/mode) values, with
+high (80th percentile) and low (20th percentile) values for the water temperature
+variable (the variable that indiates the temperature of water in the plant's cooling
+coils):
+<<Examples.setx>>=
+ x.high <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.8))
+ x.low <- setx(z.out1, Water.Temp = quantile(stackloss$Water.Temp, 0.2))
+@
+Generate first differences for the effect of high versus low water temperature on
+stack loss:
+<<Examples.sim>>=
+ s.out1 <- sim(z.out1, x = x.high, x1 = x.low)
+@
+<<Examples.summary.sim>>=
+summary(s.out1)
+@
+\begin{center}
+<<label=ExamplesPlot,fig=true,echo=true,width=5.5,height=4>>=
+ plot(s.out1)
+@
+\end{center}
+
+\item Using Dummy Variables
+
+We can estimate a model of unemployment as a function of macroeconomic indicators
+and fixed effects for each country (see \Sref{factors} for help with dummy variables).
+Note that you do not need to create dummy variables, as the program will automatically
+parse the unique values in the selected variable into discrete levels.
+<<Dummy.zelig>>=
+ data(macro)
+ z.out2 <- zelig(unem ~ gdp + trade + capmob + as.factor(country),
+ model = "rq", tau=0.5, data = macro)
+@
+Set values for the explanatory variables, using the default mean/mode
+values, with country set to the United States and Japan, respectively:
+<<Dummy.setx>>=
+ x.US <- setx(z.out2, country = "United States")
+ x.Japan <- setx(z.out2, country = "Japan")
+@
+Simulate quantities of interest:
+<<Dummy.sim>>=
+ s.out2 <- sim(z.out2, x = x.US, x1 = x.Japan)
+@
+\begin{center}
+<<label=DummyPlot,fig=true,echo=true, width=5.5, height=4>>=
+ plot(s.out2)
+@
+\end{center}
+
+\item Estimating Multiple Quantiles
+
+Using the Engel dataset on food expenditure as a function of income, we can use the
+{\tt "rq"} model to estimate multiple conditional quantiles:
+<<Multiple.zelig>>=
+ data(engel)
+ z.out3 <- zelig(foodexp ~ income, model = "rq", tau=seq(0.1,0.9,by=0.1), data = engel)
+@
+We can summarize the coefficient fits, or plot them to compare them to the least squares
+conditional mean estimator.
+<<Multiple.zelig.summary>>=
+ summary(z.out3)
+@
+\begin{center}
+<<label=MultiplePlot,fig=true,echo=true,width=5.5,height=4>>=
+ plot(summary(z.out3))
+@
+\end{center}
+Set the value of income to the top quartile and the bottom quartile of
+the income distribution for each fit:
+<<Multiple.setx>>=
+ x.bottom <- setx(z.out3, income=quantile(engel$income, 0.25))
+ x.top <- setx(z.out3, income=quantile(engel$income, 0.75))
+@
+Simulate quantities of interest for each fit simultaneously:
+<<Multiple.sim>>=
+ s.out3 <- sim(z.out3, x = x.bottom, x1 = x.top)
+@
+Summary
+<<Example4.sim.summary>>=
+summary(s.out3)
+@
+
+\end{enumerate}
+
+\subsubsection{Model}
+The quantile estimator is best introduced by considering the sample median
+estimator and comparing it to the sample mean estimator.
+To find the mean of a sample, we solve
+for the quantity $\mu$ which minimizes the sum squared residuals:
+\begin{eqnarray*}
+ \mu &=& \arg\min_\mu \sum_i (y_i-\mu)^2
+\end{eqnarray*}
+Estimating a quantile is similar, but we solve for $\xi$ which minimizes the
+sum absolute residuals:
+\begin{eqnarray*}
+ \xi &=& \arg\min_\xi \sum_i |y_i-\xi|
+\end{eqnarray*}
+One can confirm the equivalence of these optimization problems and the standard
+mean and median operators by taking the derivative with respect to the argument
+and setting it to zero.
+
+The relationship between quantile regression and ordinary least squares regression
+is analogous to the relationship between the sample median and the sample mean, except
+we are now solving for the conditional median or conditional mean given covariates and
+a linear functional form. The optimization problems for the sample mean and median
+are then easily generalized to optimization problems for
+estimating \emph{conditional} means or medians by replacing $\mu$ or $\xi$
+with a linear combination of covariates $X'\beta$:
+\begin{eqnarray}
+ \hat\beta_\mathrm{mean} &=& \arg\min_\beta \sum_i (Y_i-X_i'\beta)^2 \nonumber \\
+ \hat\beta_\mathrm{median} &=& \arg\min_\beta \sum_i |Y_i-X_i'\beta| \label{median}
+\end{eqnarray}
+Equation \ref{median} can be generalized to provide any quantile of the conditional
+distribution, not just the median. We do this by weighting the aboslute value function
+asymmetrically in proportion to the requested $\tau$th quantile:
+\begin{eqnarray}
+ \hat\beta_{\tau} &=& \arg\max_\beta \sum \rho(Y_i-X_i'\beta) \label{beta}\\
+ \rho &=& \tau(1-I(Y-X_i'\beta > 0)) + (1-\tau)I(Y-X_i'\beta > 0) \nonumber
+\end{eqnarray}
+We call the asymmetric absolute value function a ``check function''. This optimization
+problem has no closed form solution and is solved using linear programming,
+so unlike most {\tt Zelig} models, it is not straightforward to specify a systematic and
+stochastic component for conditional quantile estimates. However, the following systematic
+and stochastic components do emerge asymptotically in the large-$n$ limit.
+
+Let $Q_\tau$ be the true conditional quantile for a given set of covariates $X_i$, and $\hat Q_\tau$
+be the conditional quantile estimator. Then the \emph{stochastic component} is described
+by a density with mean $\hat Q_\tau$ and variance $\sigma^2$:
+\begin{eqnarray*}
+ Q_\tau &=& \mathcal{N}(\hat Q_\tau, \sigma^2)
+\end{eqnarray*}
+The \emph{systematic component} models the mean and variance of the above density as:
+\begin{eqnarray*}
+ \hat Q_\tau &=& x'\hat\beta_\tau\\
+ \sigma^2 &=& \frac{\tau(1-\tau)}{n f^2}
+\end{eqnarray*}
+Where $\hat\beta$ is the vector that solves equation \ref{beta}, $n$ is the number of
+datapoints, and $f$ is the true population density at the $\tau$th conditional quantile.
+Zelig uses this asymptotic approximation of stochastic and systematic components in
+simulation and numerically estimates the population density to derive $\sigma^2$. The
+simulation results should thus be treated with caution when using small datasets as both
+this asymptotic approximation and the population density approximation can break down.
+
+\subsubsection{Quantities of Interest}
+\begin{itemize}
+\item The expected value ({\tt qi\$ev}) is the mean of simulations from the stochastic
+component,
+\begin{equation*}
+E(\hat Q_\tau) = x_i \beta_\tau,
+\end{equation*}
+given a draw of $\beta_\tau$ from its sampling distribution. Variation in the expected
+value distribution comes from estimation uncertainty of $\beta_\tau$.
+
+\item The predicted value ({\tt qi\$pr}) is the result of a single draw from the
+stochastic component given a draw of $\beta_\tau$ from its sampling distribution. The
+distribution of predicted values should be centered around the same place as the
+expected values but have larger variance because it includes both estimation
+uncertainty and fundamental uncertainty.
+
+\item This model does not support conditional prediction.
+\end{itemize}
+
+\subsubsection{Output Values}
+
+The output of each Zelig command contains useful information which you
+may view. For example, if you run \texttt{z.out <- zelig(y \~\,
+ x, model = "ls", data)}, then you may examine the available
+information in \texttt{z.out} by using \texttt{names(z.out)},
+see the {\tt coefficients} by using {\tt z.out\$coefficients}, and
+a default summary of information through \texttt{summary(z.out)}.
+Other elements available through the {\tt \$} operator are listed
+below.
+
+\begin{itemize}
+ \item {\tt zelig()} will return an object {\tt z.out}, which is of class
+ {\tt rq} (when {\tt tau} specifies a single quantile), {\tt rqs} (when {\tt tau}
+ specifies multiple quantiles), or {\tt rq.process} (when {\tt tau} is a value
+ outside of $[0,1]$. The {\tt rq} and {\tt rqs} objects are supported by Zelig's
+ prediction utilities, but {\tt rq.process} is not. These objects maintain the
+ same functionality that they have in the {\tt quantreg} package -- for example,
+ one can call the {\tt summary} or {\tt plot} methods on them directly.
+ See documentation for {\tt rq} from package {\tt quantreg} for details.
+ The following information can be extracted directly from the {\tt z.out}
+ object:
+ \begin{itemize}
+ \item {\tt coefficients}: parameter estimates for the explanatory
+ variables.
+ \item {\tt residuals}: vector of differences between $Y$ and $X'\beta_\tau$.
+ \item {\tt fitted.values}: fitted values given by $X'\beta_\tau$.
+ \item {\tt zelig.data}: the input data frame if {\tt save.data = TRUE}.
+ \end{itemize}
+
+\item When {\tt zelig} was called with a single {\tt tau} value,
+ {\tt summary(z.out)} returns a {\tt summary.rq} object. When {\tt zelig}
+ was called with $\tau$ as a vector, {\tt summary(z.out)} returns a list
+ of {\tt summary.rq} objects. From each {\tt summary.rq} object you may
+ extract:
+ \begin{itemize}
+ \item {\tt coefficients}: the parameter estimates with their 95 percent
+ confidence intervals. The user can also obtain standard errors and p-values
+ by specifying the {\tt se} argument to {\tt summary}. See documentation
+ for {\tt summary.rq} in the {\tt quantreg} package for details.
+ \item {\tt rdf}: the residual degrees of freedom.
+ \item{\tt cov}: a $k \times k$ matrix of unscaled covariances. To obtain
+ this attribute, the user must specify {\tt cov=TRUE} as an argument to
+ {\tt summary}. See documentation for {\tt summary.rq} in the
+ {\tt quantreg} package for details.
+ \end{itemize}
+
+\item From the {\tt sim()} output object {\tt s.out}, you may extract
+ quantities of interest arranged as matrices indexed by simulation
+ $\times$ {\tt x}-observation (for more than one {\tt x}-observation).
+ Available quantities are:
+
+ \begin{itemize}
+ \item {\tt qi\$ev}: the simulated expected values for the specified
+ values of {\tt x}.
+ \item {\tt qi\$pr}: the simulated predicted values for the specified
+ values of {\tt x}.
+ \item {\tt qi\$fd}: the simulated first differences (or
+ differences in expected values) for the specified values of {\tt
+ x} and {\tt x1}.
+ \end{itemize}
+\end{itemize}
+
+\subsection* {How to Cite}
+%#\input{cites/ls}
+\input{citeZelig}
+
+\subsection* {See also}
+The quantile regression package {\tt quantreg} by Richard Koenker. In addition, advanced users may wish to refer to \texttt{help(rq)}, \texttt{help(summary.rq)} and \texttt{help(rq.object)}.
+\bibliographystyle{asa}
+\bibliography{gk,gkpubs}
+<<afterpkgs, echo=FALSE>>=
+ after<-search()
+ torm<-setdiff(after,before)
+ for (pkg in torm)
+ detach(pos=match(pkg,search()))
+@
+ \end{document}
+
+%%% Local Variables:
+%%% mode: latex
+%%% TeX-master: t
+%%% TeX-master: t
+%%% End:
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index ea28123..9053f04 100644
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@@ -27,10 +27,11 @@
/p1 { stroke } def
/p2 { gsave bg fill grestore newpath } def
/p3 { gsave bg fill grestore stroke } def
-/t { 6 -2 roll moveto gsave rotate
- ps mul neg 0 2 1 roll rmoveto
+/t { 5 -2 roll moveto gsave rotate
1 index stringwidth pop
mul neg 0 rmoveto show grestore } def
+/ta { 4 -2 roll moveto gsave rotate show } def
+/tb { 2 -1 roll 0 rmoveto show } def
/cl { grestore gsave newpath 3 index 3 index moveto 1 index
4 -1 roll lineto exch 1 index lineto lineto
closepath clip newpath } def
@@ -88,509 +89,509 @@ bp
10.00 setmiterlimit
np
68.27 61.07 m
-0.52 0 l
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BT
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+/F3 1 Tf 10.00 0.00 -0.00 10.00 29.03 418.91 Tm [(Expected V) 60 (alues: E\(Y|X\))] TJ
ET
BT
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diff --git a/inst/doc/weibull.pdf b/inst/doc/weibull.pdf
index 2cb21ae..f266bf4 100644
Binary files a/inst/doc/weibull.pdf and b/inst/doc/weibull.pdf differ
diff --git a/inst/doc/whatsnew.tex b/inst/doc/whatsnew.tex
index 1119c26..1e26ed9 100644
--- a/inst/doc/whatsnew.tex
+++ b/inst/doc/whatsnew.tex
@@ -7,10 +7,15 @@ may contain bugs, but are usually replaced by stable releases within a
few days.
\begin{itemize}
+\item {3.4-6} (May 22, 2009): Stable release for R 2.9
-\item {3.4-5} (Mar 13, 2009); A bug fixed in {\tt plot.ci()} (thanks to Ken Benoit) \\
+Added quantile regression model (quantile) \\
+Changed the digits option (thanks to Matthias Studer) \\
+Removed the old mloglm model (Multinomial Log-Linear Regression)\\
-\item {3.4-4} (Mar 4, 2009); weights are incorporated into {\tt ologit}, {\tt oprobit}, and {\tt negbin} models (thanks to Casey Klofstad) \\
+\item {3.4-5} (Mar 13, 2009): A bug fixed in {\tt plot.ci()} (thanks to Ken Benoit) \\
+
+\item {3.4-4} (Mar 4, 2009): weights are incorporated into {\tt ologit}, {\tt oprobit}, and {\tt negbin} models (thanks to Casey Klofstad) \\
\item {3.4-2} (Feb 10, 2009): Small fixes in the Rd files as required
by new check in CRAN \\
diff --git a/inst/doc/zelig.html b/inst/doc/zelig.html
index bcbb80b..a9f2df7 100644
--- a/inst/doc/zelig.html
+++ b/inst/doc/zelig.html
@@ -249,6 +249,8 @@ left: 100px;
<li><a href="normal.gee.pdf">normal.gee : General Estimating Equation for Normal Regression</a></li>
<li><a href="normal.net.pdf">normal.net : Social Network Normal Regression for Continuous Dependent Variables</a></li>
<li><a href="normal.survey.pdf">normal.survey : Survey-Weighted Normal Regression for Continuous Dependent Variables</a></li>
+ <li><a href="quantile.pdf">quantile : Quantile Regression for Continuous Dependent Variables</a></li>
+ <li><a href="rq.pdf">rq : Quantile Regression for Continuous Dependent Variables</a></li>
<li><a href="sur.pdf">sur : Seemingly Unrelated Regression</a></li>
<li><a href="threesls.pdf">threesls : Three Stage Least Squares</a></li>
<li><a href="tobit.pdf">tobit : Linear regression for Left-Censored Dependent Variable</a></li>
@@ -306,7 +308,6 @@ left: 100px;
<ul>
<li><a href="mlogit.pdf">mlogit : Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values</a></li>
<li><a href="mlogit.bayes.pdf">mlogit.bayes : Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values</a></li>
- <li><a href="mloglm.pdf">mloglm : Multinomial Log-Linear Regression for Contingency Table Models</a></li>
</ul>
</li>
<li class="mainindx"><a href="">Event Count Models</a>
diff --git a/inst/doc/zelig.pdf b/inst/doc/zelig.pdf
index 115b1dc..a84d361 100644
--- a/inst/doc/zelig.pdf
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\ No newline at end of file
diff --git a/inst/doc/zelig.tex b/inst/doc/zelig.tex
index ffaf697..75249a5 100644
--- a/inst/doc/zelig.tex
+++ b/inst/doc/zelig.tex
@@ -22,7 +22,7 @@ Olivia Lau\thanks{Ph.D.\ Candidate, Department of Government, Harvard
\texttt{OLau at Fas.Harvard.Edu}).}}
% rbuild: replace 'Version ' '\\' Version
-\date{Version 3.4-5\\ \today}
+\date{Version 3.4-6\\ \today}
\begin{document}
\maketitle
diff --git a/inst/doc/zeligmodels.html b/inst/doc/zeligmodels.html
index 6836aec..8c651aa 100644
--- a/inst/doc/zeligmodels.html
+++ b/inst/doc/zeligmodels.html
@@ -13,6 +13,8 @@
<li><a href="normal.gee.pdf">normal.gee : General Estimating Equation for Normal Regression</a></li>
<li><a href="normal.net.pdf">normal.net : Social Network Normal Regression for Continuous Dependent Variables</a></li>
<li><a href="normal.survey.pdf">normal.survey : Survey-Weighted Normal Regression for Continuous Dependent Variables</a></li>
+ <li><a href="quantile.pdf">quantile : Quantile Regression for Continuous Dependent Variables</a></li>
+ <li><a href="rq.pdf">rq : Quantile Regression for Continuous Dependent Variables</a></li>
<li><a href="sur.pdf">sur : Seemingly Unrelated Regression</a></li>
<li><a href="threesls.pdf">threesls : Three Stage Least Squares</a></li>
<li><a href="tobit.pdf">tobit : Linear regression for Left-Censored Dependent Variable</a></li>
@@ -70,7 +72,6 @@
<ul>
<li><a href="mlogit.pdf">mlogit : Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values</a></li>
<li><a href="mlogit.bayes.pdf">mlogit.bayes : Bayesian Multinomial Logistic Regression for Dependent Variables with Unordered Categorical Values</a></li>
- <li><a href="mloglm.pdf">mloglm : Multinomial Log-Linear Regression for Contingency Table Models</a></li>
</ul>
</li>
<li class="mainindx"><a href="">Event Count Models</a>
--
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-science/packages/r-cran-zelig.git
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