fitted.ebnm

The <code><a href="/link/fitted?package=ebnm&version=1.1-2" data-mini-rdoc="ebnm::fitted">fitted</a></code> method for class <code>ebnm</code>.
 Returns a data frame that includes posterior means, standard deviations,
 and local false sign rates (when available).

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

fitted.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/fitted.values.html'>fitted</a></code> method for class <code>ebnm</code>.
 Returns a data frame that includes posterior means, standard deviations,
 and local false sign rates (when available).

Extract posterior estimates from a fitted EBNM model — fitted.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>

fitted.ebnm: Extract posterior estimates from a fitted EBNM model

Description

Usage

Arguments