midP.EHyp

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

midP.EHyp function

<dl><dt>alp</dt>
<dd>"alpha" parameter, the log-odds parameter in the Extended Hypergeometric distribution</dd></dl>

Arguments

Author

midP.EHyp computation — midP.EHyp

<dl>

<dt>alp</dt>
<dd>"alpha" parameter, the log-odds parameter in the Extended Hypergeometric distribution</dd>

</dl>

midP.EHyp: midP.EHyp computation

Description

Usage

Value

Arguments

Author

Details