Package: stylest
Version: 0.1.0
Title: Estimating Speaker Style Distinctiveness
Authors@R: c(
  person("Leslie", "Huang",
         role = c("aut", "cph", "cre"),
         email = "lesliehuang@nyu.edu"),
  person(c("Patrick", "O."), "Perry",
         role = c("aut", "cph")),
  person("Arthur", "Spirling",
         role = c("aut", "cph")))
Depends: R (>= 2.10)
Imports: corpus, Matrix, stats
Suggests: knitr, rmarkdown, testthat, kableExtra
Description: Estimates distinctiveness in speakers' (authors') style. Fits models that can be used for predicting speakers of new texts. Methods developed in Spirling et al (2018) <doi:10.2139/ssrn.3235506> (working paper).
License: GPL-3
URL: https://github.com/leslie-huang/stylest
BugReports: https://github.com/leslie-huang/stylest/issues
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 6.0.1.9000
NeedsCompilation: no
Packaged: 2018-09-10 12:50:57 UTC; lesliehuang
Author: Leslie Huang [aut, cph, cre],
  Patrick O. Perry [aut, cph],
  Arthur Spirling [aut, cph]
Maintainer: Leslie Huang <lesliehuang@nyu.edu>
Repository: CRAN
Date/Publication: 2018-09-16 18:10:03 UTC
