Type: Package
Package: topicdoc
Title: Topic-Specific Diagnostics for LDA and CTM Topic Models
Version: 0.1.1
Authors@R: 
    person(given = "Doug",
           family = "Friedman",
           role = c("aut", "cre"),
           email = "doug.nhp@gmail.com")
Description: Calculates topic-specific diagnostics (e.g. mean token length, exclusivity) for 
    Latent Dirichlet Allocation and Correlated Topic Models fit using the 'topicmodels' package.
    For more details, see Chapter 12 in Airoldi et al. (2014, ISBN:9781466504080), 
    pp 262-272 Mimno et al. (2011, ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.
License: MIT + file LICENSE
URL: https://github.com/doug-friedman/topicdoc
BugReports: https://github.com/doug-friedman/topicdoc/issues
Depends: R (>= 3.5.0)
Imports: slam, topicmodels
Suggests: knitr, rmarkdown, stm, testthat (>= 2.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.0
NeedsCompilation: no
Packaged: 2022-07-16 23:54:07 UTC; silly
Author: Doug Friedman [aut, cre]
Maintainer: Doug Friedman <doug.nhp@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-17 00:30:02 UTC
Built: R 4.6.0; ; 2026-04-27 13:14:48 UTC; unix
