CRAN/E | rmcfs

rmcfs

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

Installation

About

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.

Citation rmcfs citation info
home.ipipan.waw.pl/m.draminski/mcfs.html
System requirements Java (>= 7)

Key Metrics

Version 1.3.5
R ≥ 2.70
Published 2021-09-18 958 days ago
Needs compilation? no
License GPL-3
CRAN checks rmcfs results

Downloads

Yesterday 51 0%
Last 7 days 118 -16%
Last 30 days 491 -1%
Last 90 days 1.552 -8%
Last 365 days 5.947 -6%

Maintainer

Maintainer

Michal Draminski

michal.draminski@ipipan.waw.pl

Authors

Michal Draminski

aut / cre

Jacek Koronacki

aut

Julian Zubek

ctb

Material

NEWS
Reference manual
Package source

Vignettes

Draminski & Koronacki (2018): rmcfs paper (Journal of Statistical Software)

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rmcfs archive

Depends

rJava ≥ 0.5-0
R ≥ 2.70

Imports

yaml
ggplot2
gridExtra
reshape2
dplyr
stringi
igraph
data.table ≥ 1.0.1

Suggests

testthat
R.rsp

Reverse Imports

BASiNET