[Depmix-commits] r454 - pkg/depmixS4

[noreply at r-forge.r-project.org]

Author: ingmarvisser
Date: 2011-02-15 14:25:07 +0100 (Tue, 15 Feb 2011)
New Revision: 454

Modified:
   pkg/depmixS4/DESCRIPTION
   pkg/depmixS4/NEWS
Log:
Updates for version 1.0-2; minor bug fix release.

Modified: pkg/depmixS4/DESCRIPTION
===================================================================
--- pkg/depmixS4/DESCRIPTION	2011-02-15 13:24:16 UTC (rev 453)
+++ pkg/depmixS4/DESCRIPTION	2011-02-15 13:25:07 UTC (rev 454)
@@ -1,6 +1,6 @@
 Package: depmixS4
-Version: 1.0-1
-Date: 2010-11-23
+Version: 1.0-2
+Date: 2011-02-15
 Title: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4
 Author: Ingmar Visser <i.visser at uva.nl>, Maarten Speekenbrink <m.speekenbrink at ucl.ac.uk>
 Maintainer: Ingmar Visser <i.visser at uva.nl>

Modified: pkg/depmixS4/NEWS
===================================================================
--- pkg/depmixS4/NEWS	2011-02-15 13:24:16 UTC (rev 453)
+++ pkg/depmixS4/NEWS	2011-02-15 13:25:07 UTC (rev 454)
@@ -1,5 +1,10 @@
-Changes in depmixS4 version ???
+Changes in depmixS4 version 1.0-2
 
+  o fixed a bug in simulation of binomial response model data (the response
+    consists of the number of successes, and the number of failures; in 
+    simulation, the number of failures was an exact copy of the number of
+    successes). 
+
   o added a meaningful error message in the EM algorithm for lca/mixture 
     models in case the initial log likelihood is NA (thanks to Matthias
     Ihrke for pointing this out). 
@@ -21,8 +26,8 @@
     to fit models. 
   
   o fixed a bug in multinomial models with n>1; the parameters are now 
-    normalized such that they sum to unity (this was introduced in version
-    0.9-0 in multinomial models with identity link). 
+    normalized such that they sum to unity (this bug was introduced in 
+    version 0.9-0 in multinomial models with identity link). 
 
   o added an error message for multinomial response models with n>1 and 
     link='mlogit' as this case is not handled; n>1 multinomial can use the