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MXM (version 0.4.3)

Discovering Multiple, Statistically-Equivalent Signatures

Description

Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. MXM stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.

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Version

Install

install.packages('MXM')

Monthly Downloads

1,130

Version

0.4.3

License

GPL-2

Maintainer

Giorgos Athineou

Last Published

July 28th, 2015

Functions in MXM (0.4.3)

MXM-package

This is an R package that currently implements feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets.

testIndFisher

Fisher's conditional independence test for continous class variables.

testIndLogistic

Conditional independence test based on logistic regression for binary, categorical or ordinal class variables.

MXM-internal

Internal MXM Functions

gSquare

G square conditional independence test for discrete data based on the log likelihood ratio test.

censIndLR

Conditional independence test based on the Log Likelihood ratio test for survival data (see reference below)

cv.ses

Cross-Validation for SES

SESoutput-class

Class "SESoutput"

SES

Feature selection algorithm for identifying multiple minimal, statistically-equivalent and equally-predictive feature signatures.