textreg: n-Gram Text Regression, aka Concise Comparative Summarization

Function for sparse regression on raw text, regressing a labeling vector onto a feature space consisting of all possible phrases.

Version: 0.1.5
Depends: R (≥ 2.10)
Imports: tm (≥ 0.7), NLP (≥ 0.1-10), Rcpp (≥ 0.12.9), stats, graphics, utils
LinkingTo: Rcpp
Suggests: corrplot, knitr, SnowballC (≥ 0.5.1), xtable, testthat, plyr, rmarkdown
Published: 2018-10-04
Author: Luke Miratrix
Maintainer: Luke Miratrix <lmiratrix at stat.harvard.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: textreg results

Documentation:

Reference manual: textreg.pdf
Vignettes: Using the textreg package

Downloads:

Package source: textreg_0.1.5.tar.gz
Windows binaries: r-devel: textreg_0.1.5.zip, r-release: textreg_0.1.5.zip, r-oldrel: textreg_0.1.5.zip
macOS binaries: r-release (arm64): textreg_0.1.5.tgz, r-oldrel (arm64): textreg_0.1.5.tgz, r-release (x86_64): textreg_0.1.5.tgz
Old sources: textreg archive

Linking:

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