maptpx: MAP Estimation of Topic Models

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Posterior maximization for topic models (LDA) in text analysis, as described in Taddy (2012) `on estimation and selection for topic models'. Previous versions of this code were included as part of the textir package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling.

Author
Matt Taddy <taddy@chicagobooth.edu>
Date of publication
2015-04-02 00:15:42
Maintainer
Matt Taddy <taddy@chicagobooth.edu>
License
GPL-3
Version
1.9-2
URLs

View on CRAN

Man pages

counts
Utilities for count matrices
predict.topics
topic predict
rdir
Dirichlet RNG
topics
Estimation for Topic Models
topicVar
topic variance

Files in this package

maptpx
maptpx/inst
maptpx/inst/CITATION
maptpx/src
maptpx/src/Makevars
maptpx/src/rhelp.c
maptpx/src/latools.h
maptpx/src/rhelp.h
maptpx/src/topics.c
maptpx/src/latools.c
maptpx/NAMESPACE
maptpx/R
maptpx/R/tpx.R
maptpx/R/count.R
maptpx/R/topics.R
maptpx/README.md
maptpx/MD5
maptpx/DESCRIPTION
maptpx/man
maptpx/man/topicVar.Rd
maptpx/man/counts.Rd
maptpx/man/rdir.Rd
maptpx/man/topics.Rd
maptpx/man/predict.topics.Rd