Density Regression via Dirichlet Process Mixtures of Normal
Structured Additive Regression Models
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Documentation for package ‘DDPstar’ version 1.0-1
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 |