GLMM_MCMCinit.alpha

see argument <code>init.alpha</code> or <code>init2.alpha</code> of
    <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=4.2" data-mini-rdoc="mixAK::GLMM_MCMC">GLMM_MCMC</a></code> function

init.alpha

see output element <code>lalpha</code> of <code><a rd-options="" href="/link/GLMM_MCMCdata?package=mixAK&version=4.2" data-mini-rdoc="mixAK::GLMM_MCMCdata">GLMM_MCMCdata</a></code>
    function

lalpha

a numeric vector of initial values of fixed effects.
    See output element <code>ialpha</code> of <code><a rd-options="" href="/link/GLMM_MCMCifit?package=mixAK&version=4.2" data-mini-rdoc="mixAK::GLMM_MCMCifit">GLMM_MCMCifit</a></code>
    function

ialpha

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

number


  This is a help function for <code><a rd-options="" href="/link/GLMM_MCMC?package=mixAK&version=4.2" 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.

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

Description

Usage

Arguments

Value

See Also