CRAN/E | psychtm

psychtm

Text Mining Methods for Psychological Research

Installation

About

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/osf.io/62tc3.

Citation psychtm citation info
github.com/ktw5691/psychtm/
System requirements C++11
Bug report File report

Key Metrics

Version 2021.1.0
R ≥ 3.3.0
Published 2021-11-02 918 days ago
Needs compilation? yes
License LGPL (≥ 3)
CRAN checks psychtm results
Language en-US

Downloads

Yesterday 3 0%
Last 7 days 11 -27%
Last 30 days 49 +9%
Last 90 days 135 -32%
Last 365 days 997 -59%

Maintainer

Maintainer

Kenneth Wilcox

kwilcox3@nd.edu

Authors

Kenneth Wilcox

aut / cre / cph

Material

README
NEWS
Reference manual
Package source

Vignettes

Estimating SLDAX Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.3.0

Imports

coda ≥ 0.4
label.switching
methods
Rcpp ≥ 0.11.0
rlang ≥ 0.4.10
tibble ≥ 2.1.3

Suggests

spelling
knitr ≥ 1.22
covr
dplyr
ggplot2
lda
testthat ≥ 3.0.2
rmarkdown

LinkingTo

Rcpp ≥ 0.11.0
RcppArmadillo
RcppProgress ≥ 0.4.2