rmcfs

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) <doi:10.18637/jss.v085.i12>.

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Description file content

Package
rmcfs
Title
The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Version
1.2.15
Date
2018-10-20
Depends
rJava (>= 0.5-0), R (>= 2.70)
Suggests
testthat, R.rsp
VignetteBuilder
R.rsp
Imports
yaml, ggplot2, reshape2, dplyr, igraph (>= 1.0.1)
SystemRequirements
Java (>= 6)
Description
MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) .
License
GPL-3
URL
LazyData
yes
NeedsCompilation
no
Packaged
2018-10-20 18:16:21 UTC; mdraminski
Author
Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer
Michal Draminski
Repository
CRAN
Date/Publication
2018-10-20 18:40:03 UTC

install.packages('rmcfs')

1.2.15

a month ago

www.ipipan.eu/staff/m.draminski/mcfs.html

Michal Draminski

GPL-3

Depends on

rJava (>= 0.5-0), R (>= 2.70)

Imports

yaml, ggplot2, reshape2, dplyr, igraph (>= 1.0.1)

Suggests

testthat, R.rsp

Discussions