stylest v0.1.0
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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 Spirling et al (2018) <doi:10.2139/ssrn.3235506> (working paper).
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stylest (alpha version)
stylest estimates speaker style distinctiveness.
Installation
You can install stylest from github with:
# install.packages("devtools")
devtools::install_github("leslie-huang/stylest")
See the vignette for examples and usage.
Authors
Bug reports
Please submit any bugs, error reports, etc. on GitHub.
Functions in stylest
| Name | Description | |
| stylest_odds | Pairwise prediction of the most likely speaker of texts | |
| fit_term_usage | Computes speakers' term usage rates | |
| novels_excerpts | Excerpts from English novels | |
| stylest_term_influence | Compute the influence of terms | |
| stylest_terms | Use vocab cutoff to select terms for fitting the model | |
| stylest_predict | Predict the most likely speaker of a text | |
| stylest_select_vocab | Select vocabulary using cross-validated out-of-sample prediction | |
| print.stylest_model | Custom print method for stylest_model | |
| stylest | stylest: A package for estimating textual distinctiveness | |
| stylest_fit | Fit speaker_model to a corpus | |
| No Results! | ||
Vignettes of stylest
| Name | ||
| stylest-vignette.Rmd | ||
| stylest-vignette.md | ||
| No Results! | ||
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Details
| 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 |
| Repository | CRAN |
| Date/Publication | 2018-09-16 18:10:03 UTC |
| imports | corpus , Matrix , stats |
| suggests | kableExtra , knitr , rmarkdown , testthat |
| depends | R (>= 2.10) |
| Contributors | Patrick Perry, Arthur Spirling |
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