compute_auxiliary

Computes variance-covariance matrix of variance parameters (theta, sigma), the Jacobian of
each variance parameter etc.

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

compute_auxiliary function

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

Arguments

Author

Compute_auxiliary quantities needed for the Satterthwaite
approximation. — compute_auxiliary

<dl>

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


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

</dl>

compute_auxiliary: Compute_auxiliary quantities needed for the Satterthwaite approximation.

Description

Usage

Value

Arguments

Author