VarCorr

VarCorr.clmm

a <code><a rd-options="" href="/link/clmm?package=ordinal&version=2019.12-10" data-mini-rdoc="ordinal::clmm">clmm</a></code> object.

currently not used by the <code>clmm</code> method.

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The VarCorr function extracts the variance and (if present)
 correlation parameters for random effect terms in a
 cumulative link mixed model (CLMM) fitted with <code>clmm</code>.

models

Implementation of cumulative link (mixed) models also known
as ordered regression models, proportional odds models, proportional
hazards models for grouped survival times and ordered logit/probit/...
models. Estimation is via maximum likelihood and mixed models are fitted
with the Laplace approximation and adaptive Gauss-Hermite quadrature.
Multiple random effect terms are allowed and they may be nested, crossed or
partially nested/crossed. Restrictions of symmetry and equidistance can be
imposed on the thresholds (cut-points/intercepts). Standard model
methods are available (summary, anova, drop-methods, step,
confint, predict etc.) in addition to profile methods and slice
methods for visualizing the likelihood function and checking
convergence.

Rune Haubo Bojesen Christensen

ordinal

Regression Models for Ordinal Data

VarCorr function

<dl> <dt>x</dt>
<dd>a <code>clmm</code> object.</dd> <dt>...</dt>
<dd>currently not used by the <code>clmm</code> method.</dd></dl>

Arguments

Author

Extract variance and correlation parameters — VarCorr

<dl>

 <dt>x</dt>
<dd>a <code>clmm</code> object.</dd>

 <dt>...</dt>
<dd>currently not used by the <code>clmm</code> method.</dd>

</dl>

VarCorr: Extract variance and correlation parameters

Description

Usage

Value

Arguments

Author

Details

Examples