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

rmcfs (version 1.3.5)

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. M. Draminski, J. Koronacki (2018) .

Copy Link

Version

Install

install.packages('rmcfs')

Monthly Downloads

411

Version

1.3.5

License

GPL-3

Maintainer

Michal Draminski

Last Published

September 18th, 2021

Functions in rmcfs (1.3.5)

read.adx

Reads data from ADX
read.adh

Reads data from ADH
prune.data

Filters input data
write.adx

Writes data to ADX
write.adh

Writes data to ADH
showme

Basic data information
write.arff

Writes data to ARFF
build.idgraph

Constructs interdependencies graph
mcfs

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

Exports MCFS-ID result plots
export.result

Saves MCFS-ID result into set csv files
print.mcfs

Prints mcfs result
artificial.data

Creates artificial dataset
plot.mcfs

Plots various MCFS result components
fix.data

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

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

Plots interdependencies graph