Description Details Author(s) References
Maximal Information-Based Nonparametric Exploration R Package for
Variable Analysis. The package provides the mine
function
allowing the computation of Maximal Information-based Nonparametric
Exploration statistics, firstly introduced in D. Reshef et al. (2011)
Detecting novel associations in large datasets. Science 334,
6062 (http://www.exploredata.net). In particular, the package
is an R wrapper for the C engine cmine
(http://minepy.readthedocs.io/en/latest/).
Summary:
Package: | minerva |
Version: | 1.4.3 |
Date: | 2014-10-08 |
Depends: | R >= (2.14.0) |
Enshances: | parallel |
URL: | http://www.r-project.org, |
http://minepy.readthedocs.io/en/latest/, | |
http://www.exploredata.net | |
License: | GPL-3 |
Index:
Spellman | Yeast Gene Expression Dataset |
mine | MINE-family statistics |
minerva-package | The minerva package |
Michele Filosi [aut, cre], Roberto Visintainer [aut], Davide Albanese [aut], Samantha Riccadonna [ctb], Giuseppe Jurman [ctb], Cesare Furlanello [ctb]
Maintainer: Michele Filosi <filosi@fbk.eu>
D. Reshef, Y. Reshef, H. Finucane, S. Grossman, G. McVean, P. Turnbaugh, E. Lander, M. Mitzenmacher, P. Sabeti. (2011) Detecting novel associations in large datasets. Science 334, 6062 (http://www.exploredata.net).
D. Albanese, M. Filosi, R. Visintainer, S. Riccadonna, G. Jurman, C. Furlanello. cmine, minerva & minepy: a C engine for the MINE suite an its R and Python wrappers. http://minepy.readthedocs.io/en/latest/
minepy. Maximal Information-based Nonparametric Exploration
in C and Python.
(http://minepy.sourceforge.net)
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