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minerva: Maximal Information-Based Nonparametric Exploration for Variable Analysis

Wrapper for 'minepy' implementation of Maximal Information-based Nonparametric Exploration statistics (MIC and MINE family). Detailed information of the ANSI C implementation of 'minepy' can be found at <http://minepy.readthedocs.io/en/latest>.

Version: 1.5.10
Depends: R (≥ 3.3.0)
Imports: parallel, Rcpp, stats, graphics
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat
Published: 2021-06-17
Author: Michele Filosi [aut, cre], Roberto Visintainer [aut], Davide Albanese [aut], Samantha Riccadonna [ctb], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]
Maintainer: Michele Filosi <michele.filosi at gmail.com>
License: GPL-3
URL: https://www.r-project.org, http://minepy.readthedocs.io/en/latest, http://www.exploredata.net
NeedsCompilation: yes
Citation: minerva citation info
Materials: README NEWS
CRAN checks: minerva results

Documentation:

Reference manual: minerva.pdf

Downloads:

Package source: minerva_1.5.10.tar.gz
Windows binaries: r-devel: minerva_1.5.10.zip, r-release: minerva_1.5.10.zip, r-oldrel: minerva_1.5.10.zip
macOS binaries: r-release (arm64): minerva_1.5.10.tgz, r-oldrel (arm64): minerva_1.5.10.tgz, r-release (x86_64): minerva_1.5.10.tgz, r-oldrel (x86_64): minerva_1.5.10.tgz
Old sources: minerva archive

Reverse dependencies:

Reverse depends: KODAMA, testforDEP
Reverse imports: autoBagging, foodingraph, linkspotter, metrica, randomForestVIP, stops

Linking:

Please use the canonical form https://CRAN.R-project.org/package=minerva 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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