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)
stylest estimates speaker style distinctiveness.
Install stylest from CRAN by executing:
install.packages("stylest")
The dev version of stylest on GitHub may have additional features (and
bugs) and is not guaranteed to be stable. Power users may install it
with:
# install.packages("devtools")
# devtools::install_github("leslie-huang/stylest")
See the vignette for examples and usage.
If you use this software, please cite:
Huang, L., Perry, P., & Spirling, A. (2020). A General Model of Author “Style” with Application to the UK House of Commons, 1935–2018. Political Analysis, 28(3), 412-434. https://doi.org/10.1017/pan.2019.49
@article{huang2020general,
title={A General Model of Author “Style” with Application to the UK House of Commons, 1935--2018},
author={Huang, Leslie and Perry, Patrick O and Spirling, Arthur},
journal={Political Analysis},
volume={28},
number={3},
pages={412--434},
year={2020},
publisher={Cambridge University Press}
}
Please submit any bugs, error reports, etc. on GitHub.