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>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: stylest results


Reference manual: stylest.pdf
Vignettes: stylest vignette


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


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