maptpx: MAP Estimation of Topic Models

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.

AuthorMatt Taddy <taddy@chicagobooth.edu>
Date of publication2015-04-02 00:15:42
MaintainerMatt Taddy <taddy@chicagobooth.edu>
LicenseGPL-3
Version1.9-2
http://faculty.chicagobooth.edu/matt.taddy/index.html

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Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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