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.


You can install stylest from github with:


See the vignette for examples and usage.


Leslie Huang (maintainer)

Patrick O. Perry

Arthur Spirling

Bug reports

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


stylest 0.1.0

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

Reference manual

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0.2.0 by Leslie Huang, a year ago

Report a bug at

Browse source code at

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