dfChiBarSquare

Computation of the degrees of freedom of the chi-bar-square

An implementation of the Likelihood ratio Test (LRT) for testing that,
in a (non)linear mixed effects model, the variances of a subset of the random
effects are equal to zero. There is no restriction on the subset of variances
that can be tested: for example, it is possible to test that all the variances
are equal to zero. Note that the implemented test is asymptotic.
This package should be used on model fits from packages 'nlme', 'lmer', and 'saemix'.
Charlotte Baey and Estelle Kuhn (2019) <doi:10.18637/jss.v107.i06>.

Charlotte Baey

varTestnlme

Variance Components Testing for Linear and Nonlinear Mixed
Effects Models

Estelle Kuhn

dfChiBarSquare function

<dl><dt>msdata</dt>
<dd>a list containing the structure of the model and data, as an output from 
<code>extractStruct.&lt;package_name&gt;</code> functions</dd></dl>

Arguments

Chi-bar-square degrees of freedom computation — dfChiBarSquare

<dl>

<dt>msdata</dt>
<dd>a list containing the structure of the model and data, as an output from 
<code>extractStruct.&lt;package_name&gt;</code> functions</dd>

</dl>

dfChiBarSquare: Chi-bar-square degrees of freedom computation

Description

Usage

Value

Arguments