Type: Package
Package: topicdoc
Title: Topic-Specific Diagnostics for LDA and CTM Topic Models
Version: 0.1.1.9000
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
Config/pak/sysreqs: libgsl0-dev libxml2-dev
Repository: https://doug-friedman.r-universe.dev
Date/Publication: 2022-07-17 14:53:15 UTC
RemoteUrl: https://github.com/doug-friedman/topicdoc
RemoteRef: HEAD
RemoteSha: 29e2a05a57f903515ec8cd45ebffe052377e2eb1
NeedsCompilation: no
Packaged: 2026-10-07 10:22:08 UTC; root
Author: Doug Friedman [aut, cre]
Maintainer: Doug Friedman <doug.nhp@gmail.com>