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inpdfr: Analyse Text Documents Using Ecological Tools

A set of functions to analyse and compare texts, using classical text mining functions, as well as those from theoretical ecology.

Version: 0.1.12
Depends: R (≥ 3.5.0)
Imports: wordcloud (≥ 2.5), RColorBrewer (≥ 1.1-2), tm (≥ 0.6-2), SnowballC (≥ 0.5.1), cluster (≥ 2.0.1), entropart (≥ 1.4.1), metacom (≥ 1.4.4), parallel (≥ 3.1.3), stringi (≥ 1.0-1), R.devices (≥ 2.14.0)
Suggests: knitr, rmarkdown, testthat
Published: 2023-08-24
DOI: 10.32614/CRAN.package.inpdfr
Author: Rebaudo Francois (IRD, UMR EGCE, IRD, CNRS, Univ. ParisSaclay)
Maintainer: Rebaudo Francois <francois.rebaudo at ird.fr>
BugReports: https://github.com/frareb/inpdfr/issues
License: GPL-2
URL: https://github.com/frareb/inpdfr/
NeedsCompilation: no
SystemRequirements: XPDF (http://www.foolabs.com/xpdf/download.html)
Citation: inpdfr citation info
Materials: README NEWS
CRAN checks: inpdfr results

Documentation:

Reference manual: inpdfr.pdf
Vignettes: Introduction to inpdfr package

Downloads:

Package source: inpdfr_0.1.12.tar.gz
Windows binaries: r-devel: inpdfr_0.1.12.zip, r-release: inpdfr_0.1.12.zip, r-oldrel: inpdfr_0.1.12.zip
macOS binaries: r-release (arm64): inpdfr_0.1.12.tgz, r-oldrel (arm64): inpdfr_0.1.12.tgz, r-release (x86_64): inpdfr_0.1.12.tgz, r-oldrel (x86_64): inpdfr_0.1.12.tgz
Old sources: inpdfr archive

Linking:

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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.