XZcov                   generate fixed and random design matrices, X
                        and Z
datbrghtterms           BRIGHT BDI depressive symptom data with (G = 4)
                        session groups divided into separate MM terms.
datsim                  Repeated measures for two groups of subjects
                        drawn from mmcar model with no nuisance
                        covariates
datsimcov               Repeated measures for two groups of subjects
                        drawn from mmcar model with 2 nuisance
                        covariates
datsimmult              Repeated measures for two groups of subjects
                        with two multiple membership (MM) terms
dpPost                  Run a Bayesian mixed effects model for
                        by-subject random effects with DP prior
dpgrow                  Bayesian semiparametric growth curve models.
dpgrowmm                Bayesian semiparametric growth curve models
                        with employment of multiple membership random
                        effects.
dpgrowmult              Bayesian semiparametric growth curve models
                        under employment of more-than-'1' multiple
                        membership random effects (block) term.
effectsplot             Plot comparison of Effect parameters of a
                        Multiple membership (MM) term under varied
                        prior formulations
getmf                   Produce fixed and random effects design
                        matrices from single formula input
growcurves-package      Bayesian semiparametric growth curve models
                        with employment of multiple membership random
                        effects.
growplot                Plot by-subject and by-group growth curves
growthCurve             Within subject model-predicted growth curve
lgmPost                 Run a Bayesian mixed effects model for
                        by-subject random effects with an independent
                        Gaussian prior
mcmcPlots               generate plots of model(s) posterior results
mmCplusDpPost           Bayesian mixed effects model with a DP prior on
                        by-subject effects and CAR prior on a set of
                        multiple membership effects
mmIgroupDpPost          Bayesian mixed effects model with a DP prior on
                        by-subject effects and use of group means for
                        multiple membership effects
mmIplusDpPost           Bayesian mixed effects model with a DP prior on
                        by-subject effects and zero mean independent
                        Gaussian priors on multiple membership effects
mmmultPost              Bayesian mixed effects model with a DP prior on
                        by-subject effects and more than one multiple
                        membership random effects term
plot.dpgrow             Produce model plots
plot.dpgrowmm           Produce model plots
plot.dpgrowmult         Produce model plots
relabel                 Relabel user vector input to sequential
                        numerical
samples                 Produce MCMC samples for model parameters
samples.dpgrow          Produce samples of MCMC output
samples.dpgrowmult      Produce samples of MCMC output
summary.dpgrow          S3 functions of dpgrow
summary.dpgrowmm        S3 functions of dpgrowmm
summary.dpgrowmult      S3 functions of dpgrowmult
summary_quantiles       Produce quantile summaries of model posterior
                        samples
trtplot                 Plot comparison of Mean Effects for Any Two
                        Treatments
