Discovering Multiple, Statistically-Equivalent Signatures

Documentation for package ‘MXM’ version 0.3

MXM-package	This is an R package that implements feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets.
apply_ideq	Internal MXM Functions
censIndLR	Conditional independence test based on the Log Likelihood ratio test for survival data (see reference below)
compare_p_values	Internal MXM Functions
gSquare	G square conditional independence test for discrete data based on the log likelihood ratio test.
IdentifyEquivalence	Internal MXM Functions
identifyTheEquivalent	Internal MXM Functions
InternalSES	Internal MXM Functions
max_min_assoc	Internal MXM Functions
min_assoc	Internal MXM Functions
nchoosekm	Internal MXM Functions
plot-method	Class '"SESoutput"'
proc_time-class	Internal MXM Functions
SES	Feature selection algorithm for identifying multiple minimal, statistically-equivalent and equally-predictive feature signatures.
SESoutput	Class '"SESoutput"'
SESoutput-class	Class '"SESoutput"'
summary-method	Class '"SESoutput"'
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.
univariateScore	Internal MXM Functions