Bayesian semiparametric growth curve models that additionally include multiple membership random effects.

Documentation for package ‘growcurves’ version 0.1.1

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growcurves-package	Bayesian semiparametric growth curve models with employment of multiple membership random effects.
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
dpgrow	Bayesian semiparametric growth curve models.
dpgrow.default	Bayesian semiparametric growth curve models.
dpgrowmm	Bayesian semiparametric growth curve models with employment of multiple membership random effects.
dpgrowmm.default	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.
dpgrowmult.default	Bayesian semiparametric growth curve models under employment of more-than-'1' multiple membership random effects (block) term.
dpPost	Run a Bayesian mixed effects model for by-subject random effects with DP prior
effectsplot	Plot comparison of Effect parameters of a Multiple membership (MM) term under varied prior formulations
get.mf	Produce fixed and random effects design matrices from single formula input
getmf	Produce fixed and random effects design matrices from single formula input
growcurves	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
mmC	Bayesian mixed effects model with a DP prior on by-subject effects and CAR prior on a set of multiple membership effects
mmCplusDpPost	Bayesian mixed effects model with a DP prior on by-subject effects and CAR prior on a set of multiple membership effects
mmI	Bayesian mixed effects model with a DP prior on by-subject effects and zero mean independent Gaussian priors on multiple membership effects
mmIgroup	Bayesian mixed effects model with a DP prior on by-subject effects and use of group means for 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
package-growcurves	Bayesian semiparametric growth curve models with employment of multiple membership random effects.
plot.dpgrow	Produce model plots
plot.dpgrowmm	Produce model plots
plot.dpgrowmult	Produce model plots
plotmcmc	generate plots of model(s) posterior results
quantiles	Produce quantile summaries of model posterior samples
relabel	Relabel user vector input to sequential numerical
samples	Produce MCMC samples for model parameters
samples.dpgrow	Produce samples of MCMC output
samples.dpgrowmm	Produce MCMC samples for model parameters
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
XZ	generate fixed and random design matrices, X and Z
XZcov	generate fixed and random design matrices, X and Z