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 |
| 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-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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