GLMM_MCMCinit.eps

see argument <code>init.eps</code> or <code>init2.eps</code> of <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=5.4" data-mini-rdoc="mixAK::GLMM_MCMC">GLMM_MCMC</a></code> function

init.eps

see argument <code>prior.eps</code> of <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=5.4" data-mini-rdoc="mixAK::GLMM_MCMC">GLMM_MCMC</a></code> function

prior.eps

see output element <code>Rc</code> of <code><a rd-options="" href="/link/GLMM_MCMCdata?package=mixAK&version=5.4" data-mini-rdoc="mixAK::GLMM_MCMCdata">GLMM_MCMCdata</a></code> function

a numeric vector of length <code>Rc</code> with initial values of residual standard deviations.

isigma

label of the initial values (used only in error messages)

number

This is a help function for <code>GLMM_MCMC</code> function. 
THIS FUNCTION IS NOT TO BE CALLED BY ORDINARY USERS.

internal

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.

Arnošt Komárek

mixAK

Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering

GLMM_MCMCinit.eps function

<dl> <dt>init.eps</dt>
<dd>see argument <code>init.eps</code> or <code>init2.eps</code> of <code>GLMM_MCMC</code> function</dd> <dt>prior.eps</dt>
<dd>see argument <code>prior.eps</code> of <code>GLMM_MCMC</code> function</dd>
 
 <dt>Rc</dt>
<dd>see output element <code>Rc</code> of <code>GLMM_MCMCdata</code> function</dd> <dt>isigma</dt>
<dd>a numeric vector of length <code>Rc</code> with initial values of residual standard deviations.</dd> <dt>number</dt>
<dd>label of the initial values (used only in error messages)</dd>
 
</dl>

Arguments

Arnošt Komárek <a href="/link/arnost.komarek%40mff.cuni.cz?package=mixAK&version=5.4" data-mini-rdoc="mixAK::arnost.komarek@mff.cuni.cz">arnost.komarek@mff.cuni.cz</a>

Author

Handle init.eps or init2.eps argument of GLMM_MCMC function — GLMM_MCMCinit.eps

<dl>

 <dt>init.eps</dt>
<dd>see argument <code>init.eps</code> or <code>init2.eps</code> of <code>GLMM_MCMC</code> function</dd>

 <dt>prior.eps</dt>
<dd>see argument <code>prior.eps</code> of <code>GLMM_MCMC</code> function</dd>
 
 <dt>Rc</dt>
<dd>see output element <code>Rc</code> of <code>GLMM_MCMCdata</code> function</dd>

 <dt>isigma</dt>
<dd>a numeric vector of length <code>Rc</code> with initial values of residual standard deviations.</dd>

 <dt>number</dt>
<dd>label of the initial values (used only in error messages)</dd>
 
</dl>

Arnošt Komárek <a href='mailto:arnost.komarek@mff.cuni.cz'>arnost.komarek@mff.cuni.cz</a>

GLMM_MCMCinit.eps: Handle init.eps or init2.eps argument of GLMM_MCMC function

Description

Usage

Value

Arguments

Author

See Also