VarCovRE

VarCovRE.hlme

VarCovRE.lcmm

VarCovRE.Jointlcmm

VarCovRE.multlcmm

Fromm the Cholesky transformed parameters, this function provides estimates,
standard errors and Wald test for the parameters of the variance-covariance
matrix of the random effects.

Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) <doi:10.18637/jss.v078.i02>).

Cecile Proust-Lima

lcmm

Extended Mixed Models Using Latent Classes and Latent Processes

Viviane Philipps

Amadou Diakite

Benoit Liquet

Alan Genz

John Burkardt

VarCovRE function

<dl><dt>Mod</dt>
<dd>an object of class <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code> or
<code>Jointlcmm</code></dd></dl>

Arguments

Cecile Proust-Lima, Lionelle Nkam and Viviane Philipps

Author

Estimates, standard errors and Wald test for the parameters of the
variance-covariance matrix of the random effects. — VarCovRE

<dl>

<dt>Mod</dt>
<dd>an object of class <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code> or
<code>Jointlcmm</code></dd>

</dl>

VarCovRE: Estimates, standard errors and Wald test for the parameters of the variance-covariance matrix of the random effects.

Description

Usage

Value

Arguments

Author