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
DOI: 10.32614/CRAN.package.minerva
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


Reference manual: minerva.pdf


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


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