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mRMRe (version 2.1.0)

"Parallelized Minimum Redundancy, Maximum Relevance (mRMR) Ensemble Feature Selection"

Description

"Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique with DOI: N De Jay et al. (2013) ."

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Version

Install

install.packages('mRMRe')

Monthly Downloads

1,373

Version

2.1.0

License

Artistic-2.0

Maintainer

Benjamin HaibeKains

Last Published

January 10th, 2020

Functions in mRMRe (2.1.0)

cgps

Part of the large pharmacogenomic dataset published by Garnett et al. within the Cancer Genome Project (CGP)
export_filters_bootstrap

Export filters bootstrap
export_concordance_index

Export concordance index
featureCount

Accessor function for the 'featureCount' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.
featureData

Accessor function for the 'featureData' information in a mRMRe.Data object
export_filters

Export filters
correlate

Function to compute various correlation measures between two variables
adjacencyMatrix

Accessor function for the 'adjacencyMatrix' information in a mRMRe.Network object.
export_mim

Export mim
causality

Accessor function for the 'causality' information in a mRMRe.Filter and mRMRe.Network object.
mim

Accessor function for the 'mim' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object
mRMRe.Data-class

Class "mRMRe.Data"
get_thread_count

openMP Thread Count
sampleStrata

Accessor function for the 'sampleStrata' information in a mRMRe.Data object
featureNames

Accessor function for the 'featureNames' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object
get.thread.count

openMP Thread Count
sampleCount

Accessor function for the 'sampleCount' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.
subsetData

Returns a mRMRe.Data object using a subset of the current mRMRe.Data object.
sampleNames

Accessor function for the 'sampleNames' information in a mRMRe.Data, mRMRe.Filter and mRMRe.Network object.
mRMRe.Filter-class

Class "mRMRe.Filter"
sampleWeights

Accessor function for the 'sampleWeights' information in a mRMRe.Data object
visualize

mRMRe Network display
priors

Accessor function for the 'priors' information in a mRMRe.Data object
mRMRe.Network-class

Class "mRMRe.Network"
scores

mRMR Scores as per the MI gain for each feature
set.thread.count

openMP Thread Count
set_thread_count

openMP Thread Count
solutions

Basic result of the mRMR procedure
target

mRMR Target(s)