rainette: The Reinert Method for Textual Data Clustering

An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.

Version: 0.1
Imports: dplyr (≥ 0.8.3), tidyr, purrr, ggplot2, stringr, quanteda (≥ 1.5), RSpectra, dendextend, ggwordcloud, gridExtra, rlang, RColorBrewer, shiny, miniUI, formatR, highr, future, future.apply, progressr, Rcpp (≥ 1.0.3)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, covr, vdiffr, tm, FNN, quanteda.textmodels
Published: 2020-03-25
Author: Julien Barnier [aut, cre], Florian Privé [ctb]
Maintainer: Julien Barnier <julien.barnier at cnrs.fr>
BugReports: https://github.com/juba/rainette/issues
License: GPL (≥ 3)
URL: https://juba.github.io/rainette/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: rainette results


Reference manual: rainette.pdf
Vignettes: [fr] Description des algorithmes
[en] Introduction to rainette
[fr] Utilisation de rainette
Package source: rainette_0.1.tar.gz
Windows binaries: r-prerelease: rainette_0.1.zip, r-release: rainette_0.1.zip, r-oldrel: rainette_0.1.zip
macOS binaries: r-prerelease: rainette_0.1.tgz, r-release: rainette_0.1.tgz, r-oldrel: not available


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