estimates

estimates.hlme

estimates.lcmm

estimates.Jointlcmm

estimates.multlcmm

estimates.externSurv

estimates.externX

estimates.mpjlcmm

This function provides the vector of maximum likelihood estimates of a model
estimated with <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code>,
<code>Jointlcmm</code>, <code>mpjlcmm</code>, <code>externSurv</code>, or <code>externX</code>.

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

estimates function

<dl><dt>x</dt>
<dd>an object of class <code>hlme</code>, <code>lcmm</code>, <code>multlcmm</code> or
<code>Jointlcmm</code></dd>
<dt>cholesky</dt>
<dd>optional logical indicating if the parameters of
variance-covariance of the random effets should be displayed instead of
their cholesky transformations used in the estimation process.</dd></dl>

Arguments

Cecile Proust-Lima, Viviane Philipps

Author

Maximum likelihood estimates — estimates

<dl>

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


<dt>cholesky</dt>
<dd>optional logical indicating if the parameters of
variance-covariance of the random effets should be displayed instead of
their cholesky transformations used in the estimation process.</dd>

</dl>

Maximum likelihood estimates

estimates: Maximum likelihood estimates

Description

Usage

Value

Arguments

Author

See Also