compute_auxillary

model

Computes vcov of variance parameters (theta, sigma), jacobian of
each variance parameter etc.

internal

Test in mixed effects models. Attention is on mixed
effects models as implemented in the 'lme4' package. For linear
mixed models, this package implements (1) a parametric bootstrap
test, (2) a Kenward-Roger-typ modification of F-tests for linear
mixed effects models and (3) a Satterthwaite-type modification of
F-tests for linear mixed effects models. The package also
implements a parametric bootstrap test for generalized linear
mixed models. The facilities of the package are documented in the
paper by Halehoh 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

compute_auxillary function

<dl><dt>model</dt>
<dd>A linear mixed model object</dd>
<dt>tol</dt>
<dd>A tolerance</dd></dl>

Arguments

Author

Compute_auxillary quantities needed for the Satterthwaite
approximation. — compute_auxillary

<dl>

<dt>model</dt>
<dd>A linear mixed model object</dd>


<dt>tol</dt>
<dd>A tolerance</dd>

</dl>

compute_auxillary: Compute_auxillary quantities needed for the Satterthwaite approximation.

Description

Usage

Value

Arguments

Author

Details