lda

Package: lda
Type: Package
Title: Collapsed Gibbs Sampling Methods for Topic Models
Version: 1.4.2
Date: 2015-11-22
Author: Jonathan Chang
Maintainer: Jonathan Chang <slycoder@gmail.com>
Description: Implements latent Dirichlet allocation (LDA)
and related models. This includes (but is not limited
to) sLDA, corrLDA, and the mixed-membership stochastic
blockmodel. Inference for all of these models is
implemented via a fast collapsed Gibbs sampler written
in C. Utility functions for reading/writing data
typically used in topic models, as well as tools for
examining posterior distributions are also included.
License: LGPL
LazyLoad: yes
Suggests: Matrix, reshape2, ggplot2 (>= 1.0.0), penalized, nnet
NeedsCompilation: yes
Packaged: 2015-11-22 08:13:39 UTC; jonathanchang
Depends: R (>= 2.10)
Repository: CRAN
Date/Publication: 2015-11-22 11:48:11

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'lda' ...
** package 'lda' successfully unpacked and MD5 sums checked
** libs
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c cvb0.c -o cvb0.o
gcc -I/home/ddbj/local/lib64/R/include -DNDEBUG  -I/usr/local/include    -fpic  -g -O2  -c gibbs.c -o gibbs.o
gcc -shared -L/home/ddbj/local/lib64/R/lib -L/usr/local/lib64 -o lda.so cvb0.o gibbs.o -L/home/ddbj/local/lib64/R/lib -lR
installing to /home/ddbj/local/lib64/R/library/lda/libs
** R
** data
** demo
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'lda'
    finding HTML links ... done
    cora                                    html  
    filter.words                            html  
    lda-package                             html  
    lda.collapsed.gibbs.sampler             html  
    lexicalize                              html  
    links.as.edgelist                       html  
    newsgroups                              html  
    nubbi.collapsed.gibbs.sampler           html  
    poliblog                                html  
    predictive.distribution                 html  
    predictive.link.probability             html  
    read.documents                          html  
    rtm.collapsed.gibbs.sampler             html  
    sampson                                 html  
    slda.predict                            html  
    top.topic.words                         html  
    word.counts                             html  
** building package indices
** testing if installed package can be loaded
* DONE (lda)
Making 'packages.html' ... done