el_aov

Fits an one-way analysis of variance model with empirical likelihood.

Performs hypothesis testing for general block designs with
empirical likelihood. The core computational routines are implemented
using the 'Eigen' 'C++' library and 'RcppEigen' interface, with
'OpenMP' for parallel computation. Details of the methods are given in
Kim, MacEachern, and Peruggia (2023)
<doi:10.1080/10485252.2023.2206919>. This work was supported by the
U.S. National Science Foundation under Grants No. SES-1921523 and
DMS-2015552.

Eunseop Kim

elgbd

Empirical Likelihood for General Block Designs

Steven MacEachern

Mario Peruggia

el_aov function

<dl><dt>formula</dt>
<dd>An object of class <code><a href="/link/formula?package=elgbd&version=0.9.0" data-mini-rdoc="elgbd::formula">formula</a></code> (or one that can be coerced to that class)
for a symbolic description of the model to be fitted. It must specify
the variables for response and treatment as <code>response ~ treatment</code>.</dd>
<dt>data</dt>
<dd>A data frame containing the variables in <code>formula</code>.</dd>
<dt>maxit</dt>
<dd>A single integer for the maximum number of iterations for optimization.
Defaults to <code>10000</code>.</dd>
<dt>abstol</dt>
<dd>A single numeric for the absolute convergence tolerance for optimization.
Defaults to <code>1e-08</code>.</dd></dl>

Arguments

Analysis of variance with empirical likelihood — el_aov

<dl>

<dt>formula</dt>
<dd>An object of class <code><a href='https://rdrr.io/r/stats/formula.html'>formula</a></code> (or one that can be coerced to that class)
for a symbolic description of the model to be fitted. It must specify
the variables for response and treatment as <code>response ~ treatment</code>.</dd>


<dt>data</dt>
<dd>A data frame containing the variables in <code>formula</code>.</dd>


<dt>maxit</dt>
<dd>A single integer for the maximum number of iterations for optimization.
Defaults to <code>10000</code>.</dd>


<dt>abstol</dt>
<dd>A single numeric for the absolute convergence tolerance for optimization.
Defaults to <code>1e-08</code>.</dd>

</dl>

el_aov: Analysis of variance with empirical likelihood

Description

Usage

Value

Arguments

References

Examples