Package: psychtm
Type: Package
Title: Text Mining Methods for Psychological Research
Version: 2021.1.0
Authors@R: person("Kenneth", "Wilcox", email = "kwilcox3@nd.edu",
                  role = c("aut", "cre", "cph"))
Description: 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>.
License: LGPL (>= 3)
URL: https://github.com/ktw5691/psychtm/
BugReports: https://github.com/ktw5691/psychtm/issues
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)
SystemRequirements: C++11
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.2
Collate: 'RcppExports.R' 'aaa-classes.R' 'aaa-generics.R' 'data.R'
        'deprec-functions.R' 'helper-functions.R' 'onUnload.R'
        'psychtm-package.R' 'psychtm.R' 'sldax-methods.R' 'utils.R'
NeedsCompilation: yes
Packaged: 2021-10-30 06:18:50 UTC; kennethwilcox
Author: Kenneth Wilcox [aut, cre, cph]
Maintainer: Kenneth Wilcox <kwilcox3@nd.edu>
Repository: CRAN
Date/Publication: 2021-11-02 09:20:05 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-18 03:22:33 UTC; windows
Archs: i386, x64
