Bayesian semi and nonparametric growth curve models that
additionally include multiple membership random effects.
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.
'summary_quantiles.R' 'mcmcPlots.R' 'relabel.R' 'getmf.R'
'XZcov.R' 'growthCurve.R' 'dpgrowmm.R' 'dpgrow.R' 'help.R'
'growplot.R' 'trtplot.R' 'datsim.R' 'datsimcov.R'
'datsimmult.R' 'dpgrowmult.R' 'effectsplot.R' 'ddp_quantiles.R'
'ddpeffectsplot.R' 'ddpMCMCplots.R' 'ddpgrow.R'
'datbrghtterms.R' 'dateduc.R' 'datbrghtmodterms.R'

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.
'getmf.R' 'XZcov.R' 'datbrghtmodterms.R' 'datbrghtterms.R'
'dateduc.R' 'datsim.R' 'datsimcov.R' 'datsimmult.R'
'ddpMCMCplots.R' 'ddp_quantiles.R' 'ddpeffectsplot.R'
'relabel.R' 'growthCurve.R' 'summary_quantiles.R' 'mcmcPlots.R'
'dpgrowmm.R' 'ddpgrow.R' 'dpgrow.R' 'dpgrowmult.R'
'effectsplot.R' 'growplot.R' 'help.R' 'trtplot.R'