[r-cran-mcmcpack] 18/90: Imported Upstream version 0.7-4

[Andreas Tille]

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

commit 8abcdebbc1fce9bef83da90b3b49c67303908241
Author: Andreas Tille <tille at debian.org>
Date:   Fri Dec 16 08:07:07 2016 +0100

    Imported Upstream version 0.7-4
---
 DESCRIPTION     | 6 +++---
 HISTORY         | 7 ++++++-
 R/MCMCpoisson.R | 2 +-
 3 files changed, 10 insertions(+), 5 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index ea98c73..98d46c2 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: MCMCpack
-Version: 0.7-3
-Date: 2006-9-15
+Version: 0.7-4
+Date: 2006-9-29
 Title: Markov chain Monte Carlo (MCMC) Package
 Author: Andrew D. Martin <admartin at wustl.edu>, and
   Kevin M. Quinn <kevin_quinn at harvard.edu>
@@ -17,4 +17,4 @@ Description: This package contains functions to perform Bayesian
   sampling algorithm, and tools for visualization.
 License: GPL version 2
 URL: http://mcmcpack.wustl.edu
-Packaged: Fri Sep 15 15:17:51 2006; adm
+Packaged: Thu Sep 28 21:16:37 2006; adm
diff --git a/HISTORY b/HISTORY
index f4ef523..5ab22f6 100644
--- a/HISTORY
+++ b/HISTORY
@@ -2,8 +2,13 @@
 // Changes and Bug Fixes
 //
 
+0.7-3 to 0.7-4
+  * fixed minor bug in MCMCpoisson() that was causing the function to 
+    not work on Windows machines.
+
 0.7-2 to 0.7-3
-  * following posting by Radford Neal at: http://www.stat.columbia.edu/~cook/movabletype/archives/2006/03/adaptive_metrop.html
+  * following posting by Radford Neal at:  
+      http://www.stat.columbia.edu/~cook/movabletype/archives/2006/03/ adaptive_metrop.html
     switched a < to a <= in the shrinkage procedures used in the various slice
     sampling implementations.
   * modified tomogplot() and dtomogplot() to handle situations in which 
diff --git a/R/MCMCpoisson.R b/R/MCMCpoisson.R
index d7885c0..16253e7 100644
--- a/R/MCMCpoisson.R
+++ b/R/MCMCpoisson.R
@@ -94,7 +94,7 @@
                      b0=b0, B0=B0, V=V) 
     
     ## put together matrix and build MCMC object to return
-    output <- form.mcmc.object(sample, names=xnames,
+    output <- form.mcmc.object(posterior, names=xnames,
                                title="MCMCpoisson Posterior Sample",
                                y=Y, call=cl, logmarglike=logmarglike)
     return(output)

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