| BNSP-package | Bayesian non- and semi-parametric model fitting |
| BNSP | Bayesian non- and semi-parametric model fitting |
| dpmj | Dirichlet process mixtures of joint models |
| mvrm | Bayesian models for normally distributed responses and semiparametric mean and variance regression models |
| mvrm2mcmc | Convert posterior samples from function 'mvrm' into an object of class 'mcmc' |
| plot.mvrm | Creates plots of terms in the mean and/or variance models |
| predict.mvrm | Model predictions |
| print.mvrm | Prints an mvrm fit |
| s | mgcv constructor 's' |
| simD | Simulated dataset |
| sm | Smooth terms in mvrm formulae |
| summary.mvrm | Summary of an mvrm fit |
| te | mgcv constructor 'te' |
| ti | mgcv constructor 'ti' |