plot.dpgrowmult

A <code>boolean</code> object.  If <code>TRUE</code>,
  plots are rendered.  In either case, plots are stored

plot.out

Builds model plots, including MCMC trace plots, analysis
  of session effects and subject growth curves

Employs a non-parametric formulation for by-subject random
        effect parameters to borrow strength over a constrained number
        of repeated measurement waves in a fashion that permits
        multiple effects per subject.  One class of models employs a
        Dirichlet process (DP) prior for the subject random effects and
        includes an additional set of random effects that utilize a
        different grouping factor and are mapped back to clients
        through a multiple membership weight matrix; e.g. treatment(s)
        exposure or dosage.  A second class of models employs a
        dependent DP (DDP) prior for the subject random effects that
        directly incorporates the multiple membership pattern.

plot.dpgrowmult: Produce model plots

Description

Usage

Arguments

Value