Package: minerva 1.5.10

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>.

Authors:Michele Filosi [aut, cre], Roberto Visintainer [aut], Davide Albanese [aut], Samantha Riccadonna [ctb], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]

minerva_1.5.10.tar.gz
minerva_1.5.10.zip(r-4.5)minerva_1.5.10.zip(r-4.4)minerva_1.5.10.zip(r-4.3)
minerva_1.5.10.tgz(r-4.4-x86_64)minerva_1.5.10.tgz(r-4.4-arm64)minerva_1.5.10.tgz(r-4.3-x86_64)minerva_1.5.10.tgz(r-4.3-arm64)
minerva_1.5.10.tar.gz(r-4.5-noble)minerva_1.5.10.tar.gz(r-4.4-noble)
minerva_1.5.10.tgz(r-4.4-emscripten)minerva_1.5.10.tgz(r-4.3-emscripten)
minerva.pdf |minerva.html
minerva/json (API)
NEWS

# Install 'minerva' in R:
install.packages('minerva', repos = c('https://filosi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/filosi/minerva/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • Spellman - CDC15 Yeast Gene Expression Dataset

On CRAN:

7 exports 3.43 score 2 dependencies 9 dependents 12 mentions 150 scripts 970 downloads

Last updated 3 years agofrom:2cf860713d. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-win-x86_64OKAug 23 2024
R-4.5-linux-x86_64OKAug 23 2024
R-4.4-win-x86_64OKAug 23 2024
R-4.4-mac-x86_64OKAug 23 2024
R-4.4-mac-aarch64OKAug 23 2024
R-4.3-win-x86_64OKAug 23 2024
R-4.3-mac-x86_64OKAug 23 2024
R-4.3-mac-aarch64OKAug 23 2024

Exports:cstatsmic_strengthmictoolsmictools_nullminemine_statpstats

Dependencies:RcppRcppArmadillo