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rmcfs (version 1.1.0)

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

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.

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Version

Install

install.packages('rmcfs')

Monthly Downloads

411

Version

1.1.0

License

GPL-3 + file LICENSE

Maintainer

Michal Draminski

Last Published

March 28th, 2016

Functions in rmcfs (1.1.0)

export.result

Saves MCFS-ID result into set csv files
write.adx

Writes data to ADX
plot.idgraph

Plots interdependencies graph
info

Basic data information
import.result

Reads csv result files produced by the MCFS-ID Java module
plot.mcfs

Plots various MCFS result components
fix.data

Fixes input data values, column names and attributes types
print.mcfs

Prints mcfs result
alizadeh

Loads sample data from a lymphoma/leukemia gene expression study
artificial.data

Creates artificial dataset
mcfs

MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery)
build.idgraph

Constructs interdependencies graph
filter.data

Filters input data
write.arff

Writes data to ARFF