GLMM_MCMCprior.alpha

see argument <code>prior.alpha</code> of
 <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=5.3" data-mini-rdoc="mixAK::GLMM_MCMC">GLMM_MCMC</a></code> function

prior.alpha

see output element <code>lalpha</code> of <code><a rd-options="" href="/link/GLMM_MCMCdata?package=mixAK&version=5.3" data-mini-rdoc="mixAK::GLMM_MCMCdata">GLMM_MCMCdata</a></code>
 function

lalpha

This is a help function for <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=5.3" data-mini-rdoc="mixAK::GLMM_MCMC">GLMM_MCMC</a></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.alpha function

see argument <code>prior.alpha</code> of
 <code><a rd-options='' href='GLMM_MCMC'>GLMM_MCMC</a></code> function

see output element <code>lalpha</code> of <code><a rd-options='' href='GLMM_MCMCdata'>GLMM_MCMCdata</a></code>
 function

This is a help function for <code><a rd-options='' href='GLMM_MCMC'>GLMM_MCMC</a></code> function. 
THIS FUNCTION IS NOT TO BE CALLED BY ORDINARY USERS.

GLMM_MCMCprior.alpha: Handle prior.alpha argument of GLMM_MCMC function

Description

Usage

Arguments

Value

See Also