Learn R Programming
⚠️There's a newer version (1.3.6) of this package.Take me there.

rmcfs (version 1.2.5)

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.

Copy Link

Version

Install

install.packages('rmcfs')

Monthly Downloads

411

Version

1.2.5

License

GPL-3

Maintainer

Michal Draminski

Last Published

April 30th, 2017

Functions in rmcfs (1.2.5)

alizadeh

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

Creates artificial dataset
build.idgraph

Constructs interdependencies graph
export.result

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

Writes data to ARFF
filter.data

Filters input data
fix.data

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

Prints mcfs result
read.adh

Reads data from ADH
plot.idgraph

Plots interdependencies graph
plot.mcfs

Plots various MCFS result components
read.adx

Reads data from ADX
showme

Basic data information
write.adh

Writes data to ADH
write.adx

Writes data to ADX
import.result

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

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