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Multinomial (inverse) regression inference for text documents and associated attributes. For details see: Taddy (2013 JASA) Multinomial Inverse Regression for Text Analysis <doi:10.48550/arXiv.1012.2098> and Taddy (2015, AoAS), Distributed Multinomial Regression, <doi:10.48550/arXiv.1311.6139>. A minimalist partial least squares routine is also included. Note that the topic modeling capability of earlier 'textir' is now a separate package, 'maptpx'.
Version: | 2.0-5 |
Depends: | R (≥ 2.15), distrom, gamlr, Matrix, stats, graphics |
Suggests: | MASS |
Published: | 2018-02-11 |
DOI: | 10.32614/CRAN.package.textir |
Author: | Matt Taddy |
Maintainer: | Matt Taddy <mataddy at gmail.com> |
License: | GPL-3 |
URL: | http://taddylab.com |
NeedsCompilation: | no |
Citation: | textir citation info |
Materials: | README |
In views: | NaturalLanguageProcessing |
CRAN checks: | textir results |
Reference manual: | textir.pdf |
Package source: | textir_2.0-5.tar.gz |
Windows binaries: | r-devel: textir_2.0-5.zip, r-release: textir_2.0-5.zip, r-oldrel: textir_2.0-5.zip |
macOS binaries: | r-release (arm64): textir_2.0-5.tgz, r-oldrel (arm64): textir_2.0-5.tgz, r-release (x86_64): textir_2.0-5.tgz, r-oldrel (x86_64): textir_2.0-5.tgz |
Old sources: | textir archive |
Reverse imports: | politeness |
Reverse suggests: | distrom |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.