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minerva  

Maximal Information-Based Nonparametric Exploration for Variable Analysis
View on CRAN: Click here


Download and install minerva package within the R console
Install from CRAN:
install.packages("minerva")

Install from Github:
library("remotes")
install_github("cran/minerva")

Install by package version:
library("remotes")
install_version("minerva", "1.5.10")



Attach the package and use:
library("minerva")
Maintained by
Michele Filosi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-08-22
Latest Update: 2021-06-17
Description:
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 .
How to cite:
Michele Filosi (2012). minerva: Maximal Information-Based Nonparametric Exploration for Variable Analysis. R package version 1.5.10, https://cran.r-project.org/web/packages/minerva. Accessed 20 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 1.0 (2012-08-22 15:39), 1.1 (2012-10-15 16:02), 1.2 (2012-11-27 18:51), 1.3 (2013-01-07 17:53), 1.4.1 (2014-08-26 18:12), 1.4.5 (2016-03-15 00:07), 1.4.7 (2017-07-21 11:41), 1.4 (2014-08-15 20:34), 1.5.7 (2019-05-23 12:13), 1.5.8 (2019-05-27 10:30), 1.5 (2018-12-14 13:20)
Other packages that cited minerva R package
View minerva citation profile
Other R packages that minerva depends, imports, suggests or enhances
Complete documentation for minerva
Functions, R codes and Examples using the minerva R package
Some associated functions: Spellman . cstats . mic_strength . mictools . mictools_null . mine . mine_stat . minerva-package . pstats . 
Some associated R codes: RcppExports.R . mictools.R . mine.R . minerva-package.R .  Full minerva package functions and examples
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