print.summary.PLmod

Print the output for a PLmixed model object of class PLmod.

glmm

GLLAMM

Utilizes the 'lme4' and 'optimx' packages (previously the optim()
function from 'stats') to estimate (generalized) linear mixed models (GLMM)
with factor structures using a profile likelihood approach, as outlined in
Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and
Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>.
Factor analysis and item response models can be extended to allow
for an arbitrary number of nested and crossed random effects,
making it useful for multilevel and cross-classified models.

Nicholas Rockwood

PLmixed

Estimate (Generalized) Linear Mixed Models with Factor
Structures

Minjeong Jeon

print.summary.PLmod function

<dl><dt>x</dt>
<dd>an object of class PLmod</dd>
<dt>digits</dt>
<dd>minimal number of significant digits, see <code><a href="/link/print.default?package=PLmixed&version=0.1.7" data-mini-rdoc="PLmixed::print.default">print.default</a></code>.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

print.summary.PLmod — print.summary.PLmod

<dl>

<dt>x</dt>
<dd>an object of class PLmod</dd>


<dt>digits</dt>
<dd>minimal number of significant digits, see <code><a href='https://rdrr.io/r/base/print.default.html'>print.default</a></code>.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

print.summary.PLmod: print.summary.PLmod

Description

Usage

Arguments