SummaryELMT-class

SummaryELMT

S4 class for a summary of ELMT objects.

Performs multiple empirical likelihood tests. It offers an
easy-to-use interface and flexibility in specifying hypotheses and
calibration methods, extending the framework to simultaneous
inferences. The core computational routines are implemented using the
'Eigen' 'C++' library and 'RcppEigen' interface, with 'OpenMP' for
parallel computation. Details of the testing procedures are provided
in Kim, MacEachern, and Peruggia (2023)
<doi:10.1080/10485252.2023.2206919>. A companion paper by Kim,
MacEachern, and Peruggia (2024) <doi:10.18637/jss.v108.i05> is
available for further information. This work was supported by the U.S.
National Science Foundation under Grants No. SES-1921523 and
DMS-2015552.

Eunseop Kim

melt

Multiple Empirical Likelihood Tests

Steven MacEachern

Mario Peruggia

Pierre Chausse

Alex Stringer

SummaryELMT-class function

<dl>
<dt><code>aliased</code></dt>
<dd>A named logical vector showing if the original coefficients are
aliased.</dd></dl>

Slots

SummaryELMT class — SummaryELMT-class

<dl>
<dt><code>aliased</code></dt>
<dd>A named logical vector showing if the original coefficients are
aliased.</dd>


</dl>

SummaryELMT-class: SummaryELMT class

Description

Arguments

Slots

Examples