ldatuning: Tuning of the Latent Dirichlet Allocation Models Parameters

For this first version only metrics to estimate the best fitting number of topics are implemented.

Version: 1.0.2
Imports: parallel, topicmodels, slam, Rmpfr, ggplot2, reshape2, scales, grid
Suggests: knitr, rmarkdown, tibble
Published: 2020-04-21
DOI: 10.32614/CRAN.package.ldatuning
Author: Murzintcev Nikita [aut], Nathan Chaney ORCID iD [ctb, cre]
Maintainer: Nathan Chaney <nathan at nathanchaney.com>
BugReports: https://github.com/nikita-moor/ldatuning/issues
License: BSD_2_clause + file LICENSE
URL: https://github.com/nikita-moor/ldatuning
NeedsCompilation: no
Materials: NEWS
CRAN checks: ldatuning results


Reference manual: ldatuning.pdf
Vignettes: Number of topics


Package source: ldatuning_1.0.2.tar.gz
Windows binaries: r-devel: ldatuning_1.0.2.zip, r-release: ldatuning_1.0.2.zip, r-oldrel: ldatuning_1.0.2.zip
macOS binaries: r-release (arm64): ldatuning_1.0.2.tgz, r-oldrel (arm64): ldatuning_1.0.2.tgz, r-release (x86_64): ldatuning_1.0.2.tgz, r-oldrel (x86_64): ldatuning_1.0.2.tgz
Old sources: ldatuning archive

Reverse dependencies:

Reverse imports: LDABiplots, LDAShiny, saotd, Twitmo


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