Incremented version number

richarddmorey · Mar 20, 2015 · 2340e73 · 2340e73
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diff --git a/pkg/BayesFactor/DESCRIPTION b/pkg/BayesFactor/DESCRIPTION
@@ -1,8 +1,8 @@
 Package: BayesFactor
 Type: Package
 Title: Computation of Bayes Factors for Common Designs
-Version: 0.9.11
-Date: 2015-3-16
+Version: 0.9.11-1
+Date: 2015-3-20
 Authors@R: c(person("Richard D.", "Morey", role = c("aut", "cre"), email =
     "richarddmorey@gmail.com"), person("Jeffrey N.", "Rouder", role = "aut",
     email = "rouderj@missouri.edu"), person("Tahira", "Jamil", role = "ctb",

diff --git a/pkg/BayesFactor/NEWS b/pkg/BayesFactor/NEWS
@@ -1,3 +1,8 @@
+  CHANGES IN BayesFactor VERSION 0.9.11-1
+
+CHANGES
+  * Fixed memory bug causing importance sampling to fail.
+
   CHANGES IN BayesFactor VERSION 0.9.11
 
 CHANGES

diff --git a/pkg/BayesFactor/R/BayesFactorPCL-package.R b/pkg/BayesFactor/R/BayesFactorPCL-package.R
@@ -8,7 +8,7 @@
 #'regression, and contingency tables.
 #'
 #'\tabular{ll}{ Package: \tab BayesFactor\cr Type: \tab Package\cr Version: \tab
-#'0.9.11\cr Date: \tab 2015-3-16\cr License: \tab GPL 2.0\cr LazyLoad: \tab 
+#'0.9.11-1\cr Date: \tab 2015-3-20\cr License: \tab GPL 2.0\cr LazyLoad: \tab 
 #'yes\cr } The following methods are currently implemented, with more to follow:
 #'
 #'general linear models (including linear mixed effects models): \code{\link{generalTestBF}}, \code{\link{lmBF}}

diff --git a/pkg/BayesFactor/man/BayesFactor-package.Rd b/pkg/BayesFactor/man/BayesFactor-package.Rd
@@ -13,7 +13,7 @@ regression, and contingency tables.
 }
 \details{
 \tabular{ll}{ Package: \tab BayesFactor\cr Type: \tab Package\cr Version: \tab
-0.9.11\cr Date: \tab 2015-3-16\cr License: \tab GPL 2.0\cr LazyLoad: \tab
+0.9.11-1\cr Date: \tab 2015-3-20\cr License: \tab GPL 2.0\cr LazyLoad: \tab
 yes\cr } The following methods are currently implemented, with more to follow:
 
 general linear models (including linear mixed effects models): \code{\link{generalTestBF}}, \code{\link{lmBF}}

diff --git a/pkg/BayesFactor/vignettes/manual.Rmd b/pkg/BayesFactor/vignettes/manual.Rmd
@@ -573,7 +573,7 @@ The highest two Bayes factors belong to the full model and the model with no int
 full / noInteraction
 ```
 
-The full model is *slightly* favored, but the evidence is equivocal. We can also use the `posterior` function to compute parameter estimates. 
+The evidence here is clearly equivocal. We can also use the `posterior` function to compute parameter estimates. 
 
 ```{r GLMposterior1}
 chainsFull <- posterior(full, iterations = 10000)