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stylest2  

Estimating Speakers of Texts
View on CRAN: Click here


Download and install stylest2 package within the R console
Install from CRAN:
install.packages("stylest2")

Install from Github:
library("remotes")
install_github("cran/stylest2")

Install by package version:
library("remotes")
install_version("stylest2", "0.1")



Attach the package and use:
library("stylest2")
Maintained by
Christian Baehr
[Scholar Profile | Author Map]
First Published: 2024-03-23
Latest Update: 2024-03-23
Description:
Estimates the authors or speakers of texts. Methods developed in Huang, Perry, and Spirling (2020) <doi:10.1017/pan.2019.49>. The model is built on a Bayesian framework in which the distinctiveness of each speaker is defined by how different, on average, the speaker's terms are to everyone else in the corpus of texts. An optional cross-validation method is implemented to select the subset of terms that generate the most accurate speaker predictions. Once a set of terms is selected, the model can be estimated. Speaker distinctiveness and term influence can be recovered from parameters in the model using package functions. Once fitted, the model can be used to predict authorship of new texts.
How to cite:
Christian Baehr (2024). stylest2: Estimating Speakers of Texts. R package version 0.1, https://cran.r-project.org/web/packages/stylest2. Accessed 17 Feb. 2025.
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