psychtm: Text Mining Methods for Psychological Research

Provides text mining methods for social science research. The package implements estimation, inference, summarization, and goodness-of-fit methods for topic models including Latent Dirichlet Allocation (LDA), supervised LDA, and supervised LDA with covariates using Bayesian Markov Chain Monte Carlo. A description of the key models and estimation methods is available in Wilcox, Jacobucci, Zhang, & Ammerman (2021). <doi:10.31234/>.

Package details

AuthorKenneth Wilcox [aut, cre, cph]
MaintainerKenneth Wilcox <>
LicenseLGPL (>= 3)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the psychtm package in your browser

Any scripts or data that you put into this service are public.

psychtm documentation built on Nov. 2, 2021, 5:08 p.m.