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rmcfs (version 1.2.6)

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

633

Version

1.2.6

License

GPL-3

Maintainer

Michal Draminski

Last Published

July 3rd, 2017

Functions in rmcfs (1.2.6)

plot.mcfs

Plots various MCFS result components
print.mcfs

Prints mcfs result
fix.data

Fixes input data values, column names and attributes types
import.result

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

Constructs interdependencies graph
export.result

Saves MCFS-ID result into set csv files
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)
plot.idgraph

Plots interdependencies graph
refine.data

Filters input data
showme

Basic data information
read.adh

Reads data from ADH
read.adx

Reads data from ADX
write.arff

Writes data to ARFF
write.adh

Writes data to ADH
write.adx

Writes data to ADX