export_concordance_index

 methods 

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. Published in
De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.

Benjamin HaibeKains

mRMRe

Parallelized Minimum Redundancy, Maximum Relevance (mRMR)

Nicolas De Jay

Simon Papillon-Cavanagh

Catharina Olsen

Gianluca Bontempi

Bo Li

Christopher Eeles

Benjamin Haibe-Kains

export_concordance_index function

<dl> <dt>samplesA</dt>
<dd>...</dd> <dt>samplesB</dt>
<dd>...</dd> <dt>samplesC</dt>
<dd>...</dd> <dt>samplesD</dt>
<dd>...</dd> <dt>sampleStrata</dt>
<dd>...</dd> <dt>sampleWeights</dt>
<dd>...</dd> <dt>sampleStratumCount</dt>
<dd>...</dd> <dt>outX</dt>
<dd>...</dd> <dt>ratio</dt>
<dd>...</dd> <dt>concordantWeights</dt>
<dd>...</dd> <dt>discordantWeights</dt>
<dd>...</dd> <dt>uninformativeWeights</dt>
<dd>...</dd> <dt>relevantWeights</dt>
<dd>...</dd></dl>

Arguments

Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains

Author

Export concordance index — export_concordance_index

<dl>

 <dt>samplesA</dt>
<dd>...</dd>

 <dt>samplesB</dt>
<dd>...</dd>

 <dt>samplesC</dt>
<dd>...</dd>

 <dt>samplesD</dt>
<dd>...</dd>

 <dt>sampleStrata</dt>
<dd>...</dd>

 <dt>sampleWeights</dt>
<dd>...</dd>

 <dt>sampleStratumCount</dt>
<dd>...</dd>

 <dt>outX</dt>
<dd>...</dd>

 <dt>ratio</dt>
<dd>...</dd>

 <dt>concordantWeights</dt>
<dd>...</dd>

 <dt>discordantWeights</dt>
<dd>...</dd>

 <dt>uninformativeWeights</dt>
<dd>...</dd>

 <dt>relevantWeights</dt>
<dd>...</dd>

</dl>

Export concordance index

export_concordance_index: Export concordance index

Description

Value

Arguments

Author