GLMM_MCMCprior.b

see argument<code>prior.b</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.b

see argument<code>scale.b</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

scale.b

see output element <code>dimb</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

dimb

see output element <code>iEranefVec</code> of <code><a rd-options="" href="/link/GLMM_MCMCifit?package=mixAK&version=5.4" data-mini-rdoc="mixAK::GLMM_MCMCifit">GLMM_MCMCifit</a></code>
 function. Defaults to a vector of zeros if missing

iEranefVec

see output element <code>iSDranefVec</code> of <code><a rd-options="" href="/link/GLMM_MCMCifit?package=mixAK&version=5.4" data-mini-rdoc="mixAK::GLMM_MCMCifit">GLMM_MCMCifit</a></code>
 function. Defaults to a vector of ones if missing

iSDranefVec

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_MCMCprior.b function

<dl> <dt>prior.b</dt>
<dd>see argument<code>prior.b</code> of
 <code>GLMM_MCMC</code> function</dd> <dt>scale.b</dt>
<dd>see argument<code>scale.b</code> of
 <code>GLMM_MCMC</code> function</dd> <dt>dimb</dt>
<dd>see output element <code>dimb</code> of <code>GLMM_MCMCdata</code>
 function</dd> <dt>iEranefVec</dt>
<dd>see output element <code>iEranefVec</code> of <code>GLMM_MCMCifit</code>
 function. Defaults to a vector of zeros if missing</dd> <dt>iSDranefVec</dt>
<dd>see output element <code>iSDranefVec</code> of <code>GLMM_MCMCifit</code>
 function. Defaults to a vector of ones if missing</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 prior.eps argument of GLMM_MCMC function — GLMM_MCMCprior.b

<dl>

 <dt>prior.b</dt>
<dd>see argument<code>prior.b</code> of
 <code>GLMM_MCMC</code> function</dd>

 <dt>scale.b</dt>
<dd>see argument<code>scale.b</code> of
 <code>GLMM_MCMC</code> function</dd>

 <dt>dimb</dt>
<dd>see output element <code>dimb</code> of <code>GLMM_MCMCdata</code>
 function</dd>

 <dt>iEranefVec</dt>
<dd>see output element <code>iEranefVec</code> of <code>GLMM_MCMCifit</code>
 function. Defaults to a vector of zeros if missing</dd>

 <dt>iSDranefVec</dt>
<dd>see output element <code>iSDranefVec</code> of <code>GLMM_MCMCifit</code>
 function. Defaults to a vector of ones if missing</dd>
 
</dl>

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

GLMM_MCMCprior.b: Handle prior.eps argument of GLMM_MCMC function

Description

Usage

Value

Arguments

Author

See Also