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 |
| 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 binaries: | r-release: maptpx_1.9-2.tgz, r-oldrel: maptpx_1.9-2.tgz |
| Old sources: | maptpx archive |
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