| datbrghtmodterms | BRIGHT BDI depressive symptom data with (G = 4) module groups... |
| datbrghtterms | BRIGHT BDI depressive symptom data with (G = 4) session... |
| dateduc | Student test scores and associated teachers for a single... |
| datsim | Repeated measures for two groups of subjects drawn from mmcar... |
| datsimcov | Repeated measures for two groups of subjects drawn from mmcar... |
| datsimmult | Repeated measures for two groups of subjects with two... |
| ddpEffectsplot | Plot by-subject and by-treatment posterior mean values for... |
| ddpgrow | Bayesian semiparametric growth curve models. |
| ddpMCMCplots | generate plots of posterior samples under 'ddpgrow' model |
| ddpPost | Run a Bayesian mixed effects model for by-subject random... |
| ddp_quantiles | Produce quantile summaries of model posterior samples |
| dpgrow | Bayesian semiparametric growth curve models. |
| dpgrowmm | Bayesian semiparametric growth curve models with employment... |
| dpgrowmult | Bayesian semiparametric growth curve models under employment... |
| dpPost | Run a Bayesian mixed effects model for by-subject random... |
| effectsplot | Plot comparison of Effect parameters of a Multiple membership... |
| getmf | Produce fixed and random effects design matrices from single... |
| growcurves-package | Bayesian Semi and Nonparametric Growth Curve Models with... |
| 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... |
| mcmcPlots | generate plots of model(s) posterior results |
| mmCmvplusDpPost | Bayesian mixed effects model with a DP prior on by-subject... |
| mmCplusDpPost | Bayesian mixed effects model with a DP prior on by-subject... |
| mmIgroupDpPost | Bayesian mixed effects model with a DP prior on by-subject... |
| mmIplusDpPost | Bayesian mixed effects model with a DP prior on by-subject... |
| mmmultPost | Bayesian mixed effects model with a DP prior on by-subject... |
| plot.ddpgrow | Produce model plots |
| 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.ddpgrow | Produce samples of MCMC output |
| samples.dpgrow | Produce samples of MCMC output |
| samples.dpgrowmult | Produce samples of MCMC output |
| summary.ddpgrow | S3 functions of dpgrow |
| 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 |
| XZcov | generate fixed and random design matrices, X and Z |
