version 0.1.1

cran · Aug 8, 2012 · 59ea107 · 59ea107
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,11 +1,11 @@
 Package: Bayesthresh
-Version: 0.1
-Date: 2012-08-06
-Title: Bayesian thresholds mixed-effects models for categorial data
+Version: 0.1.1
+Date: 2012-08-08
+Title: Bayesian thresholds mixed-effects models for categorical data
 Author: Fabio Mathias Correa <fmcron@gmail.com> and Julio Silvio de
         Souza Bueno Filho <juliobuenof@gmail.com>
 Maintainer: Fabio Mathias Correa <fmcron@gmail.com>
-Description: This library fits a linear mixed model for ordinal
+Description: This package fits a linear mixed model for ordinal
         categorical responses using Bayesian inference via Monte Carlo
         Markov Chains. Default is Nandran & Chen algorithm using
         Gaussian link function and saving just the summaries of the
@@ -16,5 +16,5 @@ Depends: R(>= 2.10.1), lme4 (>= 0.999375-35), MASS, VGAM, mvtnorm,
         matrixcalc
 License: GPL (>= 2)
 Repository: CRAN
-Date/Publication: 2012-08-08 05:37:26
-Packaged: 2012-08-07 23:21:34 UTC; fmcron
+Date/Publication: 2012-08-16 07:09:31
+Packaged: 2012-08-08 08:04:18 UTC; fmcron
diff --git a/MD5 b/MD5
@@ -1,4 +1,4 @@
-c68ca96c1fb8dc3019fd3f0c1fe817f6 *DESCRIPTION
+e33a45ee693436d529c3b1a99f3afb23 *DESCRIPTION
 637174c4b580e5e2f976596269734abc *NAMESPACE
 4b742abdb54c0f674c2f06b880d63a6f *R/Bayes.factor.R
 ca79ffb9476bc8c8726ec09db03183f7 *R/Bayesthresh.R
@@ -12,7 +12,7 @@ bd4a5ef6aad4293f4ff514233e794b7e *data/sensory.rda
 ca591a030c5407c420cdcba3a31c06f2 *man/ACGaussian.Rd
 e02f57831b3a1c651460698503742667 *man/ACt.Rd
 0d794c2437253de1db61ec284b8fb9b1 *man/Bayes.factor.Rd
-5d06b782074a983feb965f728e536ad8 *man/Bayesthresh.Rd
+2c1b8d20e1bbfb0461662fc6029f988a *man/Bayesthresh.Rd
 5f1450d8675c66f5a4d7f56569408e4a *man/MCGaussian.Rd
 3f0ab3eb6a77313f0e041b975e9819ef *man/MCt.Rd
 f1ccbd0f52aa5675a6c605d736f9ab21 *man/NCGaussian.Rd

diff --git a/man/Bayesthresh.Rd b/man/Bayesthresh.Rd
@@ -1,10 +1,10 @@
 \name{Bayesthresh}
 \alias{Bayesthresh}
 
-\title{Bayesian thresholds mixed-effects models for categorial data}
+\title{Bayesian thresholds mixed-effects models for categorical data}
 
 \description{
-  This library fits a linear mixed model for ordinal categorical responses using
+  This package fits a linear mixed model for ordinal categorical responses using
 		Bayesian inference via Monte Carlo Markov Chains. Default is Nandran & Chen algorithm
 		using Gaussian link function and saving just the summaries of the chains.
   Among the options, package allow for two other options of algorithms, for using