vcov.ebnm

The <code><a href="/link/vcov?package=ebnm&version=1.1-2" data-mini-rdoc="ebnm::vcov">vcov</a></code> method for class <code>ebnm</code>.

Provides simple, fast, and stable functions to fit the normal
means model using empirical Bayes. For available models and details, see
function ebnm(). A detailed introduction to the package is provided
by Willwerscheid and Stephens (2021) <arXiv:2110.00152>.

Peter Carbonetto

ebnm

Solve the Empirical Bayes Normal Means Problem

Jason Willwerscheid

Matthew Stephens

Andrew Goldstein

Yusha Liu

vcov.ebnm function

<dl><dt>object</dt>
<dd>The fitted <code>ebnm</code> object.</dd>
<dt>...</dt>
<dd>Not used. Included for consistency as an S3 method.</dd></dl>

Arguments

The <code><a href='https://rdrr.io/r/stats/vcov.html'>vcov</a></code> method for class <code>ebnm</code>.

Extract posterior variances from a fitted EBNM model — vcov.ebnm

<dl>

<dt>object</dt>
<dd>The fitted <code>ebnm</code> object.</dd>


<dt>...</dt>
<dd>Not used. Included for consistency as an S3 method.</dd>

</dl>

vcov.ebnm: Extract posterior variances from a fitted EBNM model

Description

Usage

Arguments