devfun_vp

This function is used for extracting the asymptotic variance-covariance matrix
of the variance parameters.

internal

Computes p-values based on (a) Satterthwaite or
Kenward-Rogers degree of freedom methods and (b) parametric bootstrap
for mixed effects models as implemented in the 'lme4'
package. Implements parametric bootstrap test for generalized linear
mixed models as implemented in 'lme4' and generalized linear
models. The package is documented in the paper by Halekoh and
Højsgaard, (2012, <doi:10.18637/jss.v059.i09>). Please see
'citation("pbkrtest")' for citation details.

Søren Højsgaard

pbkrtest

Parametric Bootstrap, Kenward-Roger and Satterthwaite Based
Methods for Test in Mixed Models

Ulrich Halekoh

devfun_vp function

<dl><dt>varpar</dt>
<dd>variance parameters; <code>varpar = c(theta, sigma)</code>.</dd>
<dt>devfun</dt>
<dd>deviance function as a function of theta only.</dd>
<dt>reml</dt>
<dd>if <code>TRUE</code> the REML deviance is computed;
if <code>FALSE</code>, the ML deviance is computed.</dd></dl>

Arguments

Rune Haubo B. Christensen. Adapted to pbkrtest by Søren Højsgaard.

Author

Compute deviance of a linear mixed model as a function of variance parameters — devfun_vp

<dl>

<dt>varpar</dt>
<dd>variance parameters; <code>varpar = c(theta, sigma)</code>.</dd>


<dt>devfun</dt>
<dd>deviance function as a function of theta only.</dd>


<dt>reml</dt>
<dd>if <code>TRUE</code> the REML deviance is computed;
if <code>FALSE</code>, the ML deviance is computed.</dd>

</dl>

devfun_vp: Compute deviance of a linear mixed model as a function of variance parameters

Description

Usage

Value

Arguments

Author