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.

Install the latest version of this package by entering the following in R:
install.packages("maptpx")
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

View on CRAN

Files

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

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

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

All documentation is copyright its authors; we didn't write any of that.