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rmcfs (version 1.3.6)

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

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Version

Install

install.packages('rmcfs')

Monthly Downloads

473

Version

1.3.6

License

GPL-3

Maintainer

Michal Draminski

Last Published

August 19th, 2024

Functions in rmcfs (1.3.6)

export.plots

Exports MCFS-ID result plots
fix.data

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

Saves MCFS-ID result into set csv files
import.result

Reads csv result files produced by the MCFS-ID Java module
prune.data

Filters input data
read.adh

Reads data from ADH
plot.mcfs

Plots various MCFS result components
print.mcfs

Prints mcfs result
artificial.data

Creates artificial dataset
mcfs

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

Plots interdependencies graph
write.adh

Writes data to ADH
write.adx

Writes data to ADX
write.arff

Writes data to ARFF
read.adx

Reads data from ADX
build.idgraph

Constructs interdependencies graph
showme

Basic data information