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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) .

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stylest estimates speaker style distinctiveness.

Installation

You can install stylest from github with:

devtools::install_github("leslie-huang/stylest")

See the vignette for examples and usage.

Authors

Leslie Huang (maintainer)

Patrick O. Perry

Arthur Spirling

Bug reports

Please submit any bugs, error reports, etc. on GitHub.

News

stylest 0.1.0

This is the first CRAN release of the stylest package for estimating speaker style distinctiveness.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("stylest")

0.2.0 by Leslie Huang, 7 months ago

https://github.com/leslie-huang/stylest

Report a bug at https://github.com/leslie-huang/stylest/issues

Browse source code at https://github.com/cran/stylest

Authors: Leslie Huang [aut, cph, cre] , Patrick O. Perry [aut, cph] , Arthur Spirling [aut, cph]

Documentation:   PDF Manual  

GPL-3 license

Imports corpus, Matrix, stats

Suggests knitr, rmarkdown, testthat, kableExtra

See at CRAN

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