stylest: Estimating Speaker Style Distinctiveness

Estimates distinctiveness in speakers' (authors') style. Fits models that can be used for predicting speakers of new texts. Methods developed in Huang et al (2020) <doi:10.1017/pan.2019.49>.

Version: 0.2.0
Depends: R (≥ 2.10)
Imports: corpus, Matrix, stats
Suggests: knitr, rmarkdown, testthat, kableExtra
Published: 2021-03-04
Author: Leslie Huang [aut, cph, cre], Patrick O. Perry [aut, cph], Arthur Spirling [aut, cph]
Maintainer: Leslie Huang <lesliehuang at nyu.edu>
BugReports: https://github.com/leslie-huang/stylest/issues
License: GPL-3
URL: https://github.com/leslie-huang/stylest
NeedsCompilation: no
Materials: README NEWS
CRAN checks: stylest results

Downloads:

Reference manual: stylest.pdf
Vignettes: stylest vignette
Package source: stylest_0.2.0.tar.gz
Windows binaries: r-devel: stylest_0.2.0.zip, r-release: stylest_0.2.0.zip, r-oldrel: stylest_0.2.0.zip
macOS binaries: r-release (arm64): stylest_0.2.0.tgz, r-release (x86_64): stylest_0.2.0.tgz, r-oldrel: stylest_0.2.0.tgz
Old sources: stylest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stylest to link to this page.