GLMM_MCMCscale.b

see argument<code>prior.eps</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

scale.b

see output element <code>dimb</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

dimb

see output element <code>iEranefVec</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. It is used to determine a default value of <code>scale.b$shift</code>.
    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=4.2" data-mini-rdoc="mixAK::GLMM_MCMCifit">GLMM_MCMCifit</a></code>
    function. It is used to determine a default value of <code>scale.b$scale</code>.
    Defaults to a vector of ones if missing

iSDranefVec


  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_MCMCscale.b: Handle scale.b argument of GLMM_MCMC function

Description

Usage

Arguments

Value

See Also