textir: Inverse Regression for Text Analysis

Multinomial [inverse] regression inference for text documents and associated attributes. Provides fast sparse multinomial logistic regression for phrase counts. A minimalist partial least squares routine is also included. Note that the topic modeling capability of textir is now a separate package, maptpx.

Version: 2.0-2
Depends: R (≥ 2.15), distrom, gamlr, Matrix
Suggests: MASS
Published: 2014-01-31
Author: Matt Taddy
Maintainer: Matt Taddy <taddy at chicagobooth.edu>
License: GPL-3
URL: http://faculty.chicagobooth.edu/matt.taddy/index.html
NeedsCompilation: no
Citation: textir citation info
Materials: README
In views: NaturalLanguageProcessing
CRAN checks: textir results


Reference manual: textir.pdf
Package source: textir_2.0-2.tar.gz
Windows binaries: r-devel: textir_2.0-2.zip, r-release: textir_2.0-2.zip, r-oldrel: textir_2.0-2.zip
OS X Snow Leopard binaries: r-release: textir_2.0-2.tgz, r-oldrel: textir_2.0-2.tgz
OS X Mavericks binaries: r-release: textir_2.0-2.tgz
Old sources: textir archive

Reverse dependencies:

Reverse suggests: distrom