a list containing models fitted with the GLMM_MCMC function. Each component of the list is the GLMM fitted in the training dataset of each cluster.

a vector with prior cluster weights. The length of this argument must be the same as the length of argument mod. Can also be given relatively, e.g., as c(1, 1) which means that both prior weights are equal to 1/2.

vector, matrix or data frame (see argument y of GLMM_MCMC function) with responses of objects that are to be clustered.

vector which determines clustered observations (see also argument y of GLMM_MCMC function).

see xz.common below.

see xz.common below.

a logical value.

If TRUE then it is assumed that the X and Z matrices are the same for GLMM in each cluster. In that case, arguments x and z have the same structure as arguments x and z of GLMM_MCMC function.

If FALSE then X and Z matrices for the GLMM may differ across clusters. In that case, arguments x and z are both lists of length equal to the number of clusters and each component of lists x and z has the same structure as arguments x and z of GLMM_MCMC function.

a logical value indicating whether the allocation probabilities should be kept for all MCMC iterations. This may ask for quite some memory but it is necessary if credible intervals etc. should be calculated for the component probabilities.

level of HPD credible intervals that are calculated for the component probabilities if keep.comp.prob is TRUE.

interval in which the function prints the progress of computation (unless silent is TRUE).

logical value indicating whether to switch-off printing the information during calculations.

ADD DESCRIPTION