topicdoc: Topic-Specific Diagnostics for LDA and CTM Topic Models

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>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: slam, topicmodels
Suggests: knitr, rmarkdown, testthat (≥ 2.1.0)
Published: 2019-10-18
Author: Doug Friedman [aut, cre]
Maintainer: Doug Friedman <doug.nhp at gmail.com>
BugReports: https://github.com/doug-friedman/topicdoc/issues
License: MIT + file LICENSE
URL: https://github.com/doug-friedman/topicdoc
NeedsCompilation: no
Materials: README
CRAN checks: topicdoc results

Downloads:

Reference manual: topicdoc.pdf
Vignettes: Basic usage
Package source: topicdoc_0.1.0.tar.gz
Windows binaries: r-devel: topicdoc_0.1.0.zip, r-devel-gcc8: topicdoc_0.1.0.zip, r-release: topicdoc_0.1.0.zip, r-oldrel: topicdoc_0.1.0.zip
OS X binaries: r-release: topicdoc_0.1.0.tgz, r-oldrel: topicdoc_0.1.0.tgz

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