.KM_fit

Fit a Koenker-Mizera (KM) model for a contingency table.

internal

A suite of empirical Bayes methods to use in pharmacovigilance. Contains various model fitting and post-processing functions. For more details see Tan et al. (2025) <doi:10.48550/arXiv.2502.09816>, <doi:10.48550/arXiv.2512.01057>; Koenker and Mizera (2014) <doi:10.1080/01621459.2013.869224>; Efron (2016) <doi:10.1093/biomet/asv068>.

Yihao Tan

pvEBayes

Empirical Bayes Methods for Pharmacovigilance

Marianthi Markatou

Saptarshi Chakraborty

Raktim Mukhopadhyay

.KM_fit function

<dl><dt>N</dt>
<dd>an IxJ contingency table showing pairwise counts of
adverse events for I AEs (along the rows) and J drugs (along the columns).</dd>
<dt>E</dt>
<dd>A matrix of expected counts under the null model for the SRS
frequency table.</dd>
<dt>rtol_KM</dt>
<dd>The relative tolerance on the duality gap.</dd></dl>

Arguments

Fit a Koenker-Mizera (KM) model for a contingency table. — .KM_fit

<dl>

<dt>N</dt>
<dd>an IxJ contingency table showing pairwise counts of
adverse events for I AEs (along the rows) and J drugs (along the columns).</dd>


<dt>E</dt>
<dd>A matrix of expected counts under the null model for the SRS
frequency table.</dd>


<dt>rtol_KM</dt>
<dd>The relative tolerance on the duality gap.</dd>

</dl>

.KM_fit: Fit a Koenker-Mizera (KM) model for a contingency table.

Description

Usage

Value

Arguments

Details

References