Bayesthresh

Package: Bayesthresh
Version: 2.0.1
Date: 2012-11-14
Title: Bayesian thresholds mixed-effects models for categorical data
Author: Fabio Mathias Correa <fmcorrea@uesc.br> and Julio Silvio de
Sousa Bueno Filho <juliobuenof@gmail.com>
Maintainer: Fabio Mathias Correa <fmcorrea@uesc.br>
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
chains. Among the options, package allow for two other options
of algorithms, for using Student's "t" link function and for
saving the full chains.
Depends: R (>= 2.15.2), lme4 (>= 0.999375-35), MASS, VGAM, mvtnorm,
matrixcalc, coda
License: GPL (>= 2)
Repository: CRAN
Date/Publication: 2013-03-26 12:05:55
Packaged: 2013-03-26 08:42:17 UTC; raquel
NeedsCompilation: yes

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'Bayesthresh' ...
** package 'Bayesthresh' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c acum.c -o acum.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c dist.c -o dist.o
gfortran  -fpic -g -O2  -c  lambda.f95 -o lambda.o
gfortran  -fpic -g -O2  -c  partition.f95 -o partition.o
gfortran  -fpic -g -O2  -c  vua.f95 -o vua.o
gfortran -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o Bayesthresh.so acum.o dist.o lambda.o partition.o vua.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/Bayesthresh/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'Bayesthresh'
    finding HTML links ... done
    ACGaussian                              html  
    ACt                                     html  
    Bayes.factor                            html  
    Bayesthresh                             html  
    MCGaussian                              html  
    MCMCsample                              html  
    MCt                                     html  
    NCGaussian                              html  
    NCt                                     html  
    coef.Bayesthresh                        html  
    compVar                                 html  
    plot.random.effects                     html  
    predict.Bayesthresh                     html  
    random.effects                          html  
    sensory                                 html  
    summary.Bayesthresh                     html  
** building package indices
** testing if installed package can be loaded
* DONE (Bayesthresh)
Making 'packages.html' ... done