MaxX.Int

Computes a novel metric of affinity between two entities based on their co-occurrence
(using binary presence/absence data). The metric and its MLE, alpha hat, were advanced in
Mainali, Slud, et al, 2021 <doi:10.1126/sciadv.abj9204>. Various types of confidence intervals and median interval
were developed in Mainali and Slud, 2022 <doi:10.1101/2022.11.01.514801>.

Kumar Mainali

CooccurrenceAffinity

Affinity in Co-Occurrence Data

Eric Slud

MaxX.Int function

<dl><dt>marg</dt>
<dd>a 3-entry integer vector (mA,mB,N) consisting of the first row and column totals and the table total for a 2x2 contingency table</dd>
<dt>scal</dt>
<dd>an integer parameter (default 2*N^2, capped at 10 within the function) that should be 2 or greater</dd>
<dt>lev</dt>
<dd>a confidence level, generally somewhere from 0.8 to 0.95 (default 0.95)</dd></dl>

Arguments

Author

MaxX.Int computation — MaxX.Int

<dl>

<dt>marg</dt>
<dd>a 3-entry integer vector (mA,mB,N) consisting of the first row and column totals and the table total for a 2x2 contingency table</dd>


<dt>scal</dt>
<dd>an integer parameter (default 2*N^2, capped at 10 within the function) that should be 2 or greater</dd>


<dt>lev</dt>
<dd>a confidence level, generally somewhere from 0.8 to 0.95 (default 0.95)</dd>

</dl>

MaxX.Int: MaxX.Int computation

Description

Usage

Value

Arguments

Author

Details