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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: 0.3.1.1
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 1.1.0), tidyr, purrr, ggplot2, stringr, quanteda (≥ 2.1), quanteda.textstats, RSpectra, dendextend, ggwordcloud, gridExtra, rlang, shiny, miniUI, highr, progressr, Rcpp (≥ 1.0.3)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown, tm, FNN, vdiffr, quanteda.textmodels
Published: 2023-03-28
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

Documentation:

Reference manual: rainette.pdf
Vignettes: [fr] Description des algorithmes
[en] Algorithms description
[en] Introduction to rainette
[fr] Utilisation de rainette

Downloads:

Package source: rainette_0.3.1.1.tar.gz
Windows binaries: r-devel: rainette_0.3.1.1.zip, r-release: rainette_0.3.1.1.zip, r-oldrel: rainette_0.3.1.1.zip
macOS binaries: r-release (arm64): rainette_0.3.1.1.tgz, r-oldrel (arm64): rainette_0.3.1.1.tgz, r-release (x86_64): rainette_0.3.1.1.tgz, r-oldrel (x86_64): rainette_0.3.1.1.tgz
Old sources: rainette archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rainette to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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