[r-cran-bayesm] 23/44: Import Upstream version 2.0-8

[Andreas Tille]

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tille pushed a commit to branch master
in repository r-cran-bayesm.

commit 351091d78e3a823215cf718d14264d0cd76a512f
Author: Andreas Tille <tille at debian.org>
Date:   Thu Sep 7 13:09:20 2017 +0200

    Import Upstream version 2.0-8
---
 DESCRIPTION       | 6 +++---
 man/rnmixGibbs.Rd | 5 +++--
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 6bd3441..fa47b2f 100755
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: bayesm
-Version: 2.0-7
-Date: 2006-02-02
+Version: 2.0-8
+Date: 2006-03-15
 Title:Bayesian Inference for Marketing/Micro-econometrics 
 Author: Peter Rossi <peter.rossi at ChicagoGsb.edu>, 
         Rob McCulloch <robert.mcculloch at ChicagoGsb.edu>.
@@ -28,4 +28,4 @@ Description: bayesm covers many important models used
   Marketing by Rossi, Allenby and McCulloch. 
 License: GPL (version 2 or later)
 URL: http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html
-Packaged: Fri Feb  3 22:14:33 2006; hornik
+Packaged: Wed Mar 15 11:27:54 2006; per
diff --git a/man/rnmixGibbs.Rd b/man/rnmixGibbs.Rd
index 4004569..f1788d3 100755
--- a/man/rnmixGibbs.Rd
+++ b/man/rnmixGibbs.Rd
@@ -87,7 +87,7 @@ comps = list() # change to "rooti" scale
 for(i in 1:k) comps[[i]] = list(mu=compsmv[[i]][[1]],rooti=solve(chol(compsmv[[i]][[2]])))
 pvec=(1:k)/sum(1:k)
 
-nobs=5000
+nobs=500
 dm = rmixture(nobs,pvec,comps)
 
 Data=list(y=dm$x)
@@ -117,6 +117,7 @@ if(0){
 ## plotting examples
 ##
 ## check true and estimated marginal densities
+end=R
 grid=NULL
 for (i in 1:dim){
   rgi=range(dm$x[,i])
@@ -148,7 +149,7 @@ tden=mixDenBi(i,j,xi,xj,pvec,comps)
 
 par(mfrow=c(2,1))
 image(xi,xj,tden,col=terrain.colors(100),xlab="",ylab="")
-contour(xi,xj,den,add=TRUE,drawlabels=FALSE)
+contour(xi,xj,tden,add=TRUE,drawlabels=FALSE)
 title("True Bivariate Marginal")
 image(xi,xj,den,col=terrain.colors(100),xlab="",ylab="")
 contour(xi,xj,den,add=TRUE,drawlabels=FALSE)

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