[r-cran-eco] 12/30: Import Upstream version 3.1-2

Andreas Tille tille at debian.org
Thu Sep 7 07:20:58 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-eco.

commit ee161d31e0d197c4191e75abb4184c84be06aaf8
Author: Andreas Tille <tille at debian.org>
Date:   Thu Sep 7 08:59:27 2017 +0200

    Import Upstream version 3.1-2
---
 DESCRIPTION     | 10 +++++-----
 R/eminfo.R      |  2 +-
 man/eco.Rd      | 11 +++++------
 man/ecoNP.Rd    | 12 ++++++------
 man/housep88.Rd |  2 +-
 man/wallace.Rd  |  2 +-
 6 files changed, 19 insertions(+), 20 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index e44c795..7e4362d 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: eco
-Version: 3.1-1
-Date: 2007-6-27
+Version: 3.1-2
+Date: 2009-1-29
 Title: R Package for Ecological Inference in 2x2 Tables
 Author: Kosuke Imai <kimai at princeton.edu>,
         Ying Lu <ying.lu at colorado.edu>,
@@ -9,7 +9,7 @@ Maintainer: Ying Lu <ying.lu at colorado.edu>
 Depends: R (>= 2.0), MASS
 Description: eco is a publicly available R package that implements the
   Bayesian and likelihood methods proposed in Imai, Lu, and Strauss 
-  (Forthcoming) for ecological inference in $2 \times 2$ tables as
+  (2008) for ecological inference in $2 \times 2$ tables as
   well as the method of bounds introduced by Duncan and Davis (1953). 
   The package fits both parametric and nonparametric models using 
   either the Expectation-Maximization algorithms (for likelihood
@@ -22,6 +22,6 @@ Description: eco is a publicly available R package that implements the
   parametric likelihood models.
 LazyLoad: yes
 LazyData: yes
-License: GPL (version 2 or later)
+License: GPL (>= 2)
 URL: http://imai.princeton.edu/research/eco.html
-Packaged: Wed Jun 27 20:20:08 2007; kimai
+Packaged: Fri Jan 30 21:40:39 2009; kimai
diff --git a/R/eminfo.R b/R/eminfo.R
index d04045e..92c9e5c 100644
--- a/R/eminfo.R
+++ b/R/eminfo.R
@@ -14,7 +14,7 @@ invlogit <-function(Y)
 ####assuming theta.em
 ##2 d: mu1, mu2, sig1, sig2, r12
 ##3 d: mu3, mu1, mu2, sig3, sig1, sig2, r13, r23, r12
-param.pack<-function(theta.em, fix.rho=FALSE,r12=0, dim=ndim) 
+param.pack<-function(theta.em, fix.rho=FALSE,r12=0, dim) 
   {
     mu<-rep(0, dim)
     Sig<-matrix(0,dim, dim)
diff --git a/man/eco.Rd b/man/eco.Rd
index f28ec6e..b2926d8 100644
--- a/man/eco.Rd
+++ b/man/eco.Rd
@@ -10,8 +10,7 @@
   Normal/Inverse-Wishart prior) for ecological inference in \eqn{2
   \times 2} tables via Markov chain Monte Carlo. It gives the in-sample
   predictions as well as the estimates of the model parameters. The
-  model and algorithm are described in Imai, Lu and Strauss (Forthcoming 
-  a and b). 
+  model and algorithm are described in Imai, Lu and Strauss (2008, Forthcoming). 
   }
 
 \usage{
@@ -45,7 +44,7 @@ eco(formula, data = parent.frame(), N = NULL, supplement = NULL,
   \item{context}{Logical. If \code{TRUE}, the contextual effect is also
     modeled, that is to assume the row margin \eqn{X} and the unknown 
    \eqn{W_1} and \eqn{W_2} are correlated. See Imai, Lu and Strauss 
-   (Forthcoming b) for details. The default is \code{FALSE}. 
+   (2008, Forthcoming) for details. The default is \code{FALSE}. 
   }
   \item{mu0}{A scalar or a numeric vector that specifies the prior mean 
     for the mean parameter \eqn{\mu} for \eqn{(W_1,W_2)} (or for 
@@ -143,7 +142,7 @@ eco(formula, data = parent.frame(), N = NULL, supplement = NULL,
 data(reg)
 
 ## NOTE: convergence has not been properly assessed for the following
-## examples. See Imai, Lu and Strauss (Forthcoming a and b) for more
+## examples. See Imai, Lu and Strauss (2008, Forthcoming) for more
 ## complete analyses.
 
 ## fit the parametric model with the default prior specification
@@ -211,9 +210,9 @@ summary(out1)
   Journal of Statistical Software, available at
   \url{http://imai.princeton.edu/research/eco.html}
 
-  Imai, Kosuke, Ying Lu and Aaron Strauss. (Forthcoming). \dQuote{Bayesian and
+  Imai, Kosuke, Ying Lu and Aaron Strauss. (2008). \dQuote{Bayesian and
     Likelihood Inference for 2 x 2 Ecological Tables: An Incomplete Data
-    Approach} Political Analysis, available at 
+    Approach} Political Analysis, Vol. 16, No. 1 (Winter), pp. 41-69. available at 
   \url{http://imai.princeton.edu/research/eiall.html}
 }
 
diff --git a/man/ecoNP.Rd b/man/ecoNP.Rd
index 0a2ed99..43a400d 100644
--- a/man/ecoNP.Rd
+++ b/man/ecoNP.Rd
@@ -11,7 +11,7 @@
   2} tables via Markov chain Monte Carlo. It gives the in-sample
   predictions as well as out-of-sample predictions for population
   inference.  The models and algorithms are described in Imai, Lu and
-  Strauss (Forthcoming a and b). 
+  Strauss (2008, Forthcoming). 
 }
 
 \usage{
@@ -44,12 +44,12 @@ ecoNP(formula, data = parent.frame(), N = NULL, supplement = NULL,
   }      
   \item{context}{Logical. If \code{TRUE}, the contextual effect is also
     modeled, that is to assume the row margin \eqn{X} and the unknown 
-   \eqn{W_1} and \eqn{W_2} are correlated. See Ima, Lu and Strauss
-   (Forthcoming b) for details. The default is \code{FALSE}. 
+   \eqn{W_1} and \eqn{W_2} are correlated. See Imai, Lu and Strauss
+   (2008, Forthcoming) for details. The default is \code{FALSE}. 
   }
   \item{mu0}{A scalar or a numeric vector that specifies the prior mean 
     for the mean parameter \eqn{\mu} of the base prior distribution \eqn{G_0}
-    (see Imia, Lu and Strauss (Forthcoming a and b) for detailed 
+    (see Imai, Lu and Strauss (2008, Forthcoming) for detailed 
     descriptions of Dirichlete prior and the normal base prior distribution) . 
     If it is a scalar, then its value will be repeated to yield a vector 
     of the length of \eqn{\mu}, otherwise,
@@ -206,9 +206,9 @@ summary(pres1)
   Journal of Statistical Software, available at
   \url{http://imai.princeton.edu/research/eco.html}
 
-  Imai, Kosuke, Ying Lu and Aaron Strauss. (Forthcoming).
+  Imai, Kosuke, Ying Lu and Aaron Strauss. (2008).
   \dQuote{Bayesian and Likelihood Inference for 2 x 2 Ecological Tables:
-    An Incomplete Data Approach} Political Analysis, available at
+    An Incomplete Data Approach} Political Analysis, Vol. 16, No. 1 (Winter), pp. 41-69. available at
  \url{http://imai.princeton.edu/research/eiall.html}
 }
 
diff --git a/man/housep88.Rd b/man/housep88.Rd
index acacbe6..5f3d73f 100644
--- a/man/housep88.Rd
+++ b/man/housep88.Rd
@@ -37,7 +37,7 @@
 }
 \references{
  Burden, Barry C. and David C. Kimball (1988). ``A New Approach To Ticket-
-  Splitting.'' {\em The American Political Science Review}. vol 92.,
+  Splitting.'' The American Political Science Review. vol 92.,
    no. 3, pp. 553-544.
 }
 
diff --git a/man/wallace.Rd b/man/wallace.Rd
index 18cdbbf..06171ed 100644
--- a/man/wallace.Rd
+++ b/man/wallace.Rd
@@ -30,7 +30,7 @@
 
  \references{ Wasserman, Ira M. and David R. Segal (1973).
 ``Aggregation Effects in the Ecological Study of Presidential
-Voting.'' {\em American Journal of Political Science}, vol. 17, pp.
+Voting.'' American Journal of Political Science. vol. 17, pp.
 177-81.
  }
 

-- 
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-science/packages/r-cran-eco.git



More information about the debian-science-commits mailing list