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]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
minerva/json (API)

# Install 'minerva' in R:

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

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:

cpp

7.34 score 22 packages 216 scripts 3.1k downloads 12 mentions 7 exports 2 dependencies

Last updated from:2cf860713d. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	138
linux-devel-x86_64	OK	160
source / vignettes	OK	148
linux-release-arm64	OK	132
linux-release-x86_64	OK	123
macos-release-arm64	OK	132
macos-release-x86_64	OK	271
macos-oldrel-arm64	OK	152
macos-oldrel-x86_64	OK	285
windows-devel	OK	103
windows-release	OK	114
windows-oldrel	OK	113
wasm-release	OK	131

Exports:cstats mic_strength mictools mictools_null mine mine_stat pstats

Dependencies:Rcpp RcppArmadillo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The minerva package	minerva-package minerva
Compute statistics (MIC and normalized TIC) between each pair of the two collections of variables (convenience function). If n and m are the number of variables in X and Y respectively, then the statistic between the (row) i (for X) and j (for Y) is stored in 'mic[i, j]' and 'tic[i, j]'.	cstats
Compute the association strengh	mic_strength
Function that implements the 'mictools' pipeline. In particular it computes the null and observed distribution of the 'tic_e' measure	mictools
This set of functions are helper function to compute null distribution of the 'tic_e' and 'tic_e' observed distribution from a matrix	mictools_null
MINE family statistics Maximal Information-Based Nonparametric Exploration (MINE) statistics. 'mine' computes the MINE family measures between two variables.	MIC-R2 mic-r2 MINE mine
This is an helper function to compute one 'mine' statistic. It take two vectors of the same dimension as an input.	mine_stat
Compute pairwise statistics (MIC and normalized TIC) between variables (convenience function).	pstats
CDC15 Yeast Gene Expression Dataset	Spellman spellman