R: Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models

# Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models

## Documentation for package ‘DDPstar’ version 1.0-1

- DESCRIPTION file.

## Help Pages

DDPstar-package | Density Regression via Dirichlet Process Mixtures of Normal Structured Additive Regression Models
dde | Dichlorodiphenyldichloroethylene (DDE) and preterm delivery data
DDPstar | Density Regression via Dirichlet Process Mixtures (DDP) of Normal Structured Additive Regression (STAR) Models
f | Defining smooth terms in DDPstar formulae
mcmccontrol | Markov chain Monte Carlo (MCMC) parameters
predict.DDPstar | Predictions from fitted DDPstar models
predictive.checks.DDPstar | Posterior predictive checks.
print.DDPstar | Print method for DDPstar objects
priorcontrol | Prior information for the DDPstar model
quantileResiduals | Quantile residuals.
quantileResiduals.DDPstar | Quantile residuals.
rae | Defining random effects in DDPstar formulae
summary.DDPstar | Summary method for DDPstar objects