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textir: Inverse Regression for Text Analysis

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
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

Documentation:

Reference manual: textir.pdf

Downloads:

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 dependencies:

Reverse imports: politeness
Reverse suggests: distrom

Linking:

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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.
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