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rmcfs (version 1.1.1)

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

1.1.1

License

GPL-3 + file LICENSE

Maintainer

Michal Draminski

Last Published

March 29th, 2016

Functions in rmcfs (1.1.1)

plot.mcfs

Plots various MCFS result components
write.adx

Writes data to ADX
plot.idgraph

Plots interdependencies graph
fix.data

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

Prints mcfs result
import.result

Reads csv result files produced by the MCFS-ID Java module
build.idgraph

Constructs interdependencies graph
filter.data

Filters input data
mcfs

MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery)
showme

Basic data information
alizadeh

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

Writes data to ARFF
artificial.data

Creates artificial dataset
export.result

Saves MCFS-ID result into set csv files