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.

Version: 1.9-2
Depends: R (≥ 2.10), slam
Suggests: MASS
Published: 2015-04-02
Author: Matt Taddy
Maintainer: Matt Taddy <taddy at chicagobooth.edu>
License: GPL-3
URL: http://faculty.chicagobooth.edu/matt.taddy/index.html
NeedsCompilation: yes
Citation: maptpx citation info
Materials: README
CRAN checks: maptpx results

Downloads:

Reference manual: maptpx.pdf
Package source: maptpx_1.9-2.tar.gz
Windows binaries: r-devel: maptpx_1.9-2.zip, r-release: maptpx_1.9-2.zip, r-oldrel: maptpx_1.9-2.zip
OS X El Capitan binaries: r-release: maptpx_1.9-2.tgz
OS X Mavericks binaries: r-oldrel: maptpx_1.9-2.tgz
Old sources: maptpx archive

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