Bayesian Variable Selection and Model Choice for Generalized Additive Mixed Models

evalTerm | Get summaries of the posterior (predictive) distribution of... |

fct | Generate design for a factor covariate |

getPosteriorTerm | Get the posterior distribution of the linear predictor of a... |

lin | Generate orthogonal polynomial base for a numeric covariate... |

mrf | Generate design for a 2-D Gaussian Markov Random Field |

plot.spikeSlabGAM | Generates graphical summaries of a fitted model |

plotTerm | Plot the estimated effect of a model term. |

predict.spikeSlabGAM | Obtain posterior predictive/credible intervals from a... |

print.summary.spikeSlabGAM | Print summary for posterior of a 'spikeSlabGAM' fit |

rnd | Generate design for a random intercept |

sm | Generate a reparameterized P-spline base |

spikeAndSlab | Set up and sample a spike-and-slab prior model. |

spikeSlabGAM | Generate posterior samples for a GAMM with spike-and-slab... |

srf | Generate design for penalized surface estimation. |

ssGAM2Bugs | Convert samples from a model fitted with 'spikeSlabGAM' into... |

ssGAMDesign | Generate design and model information for 'spikeSlabGAM' |

summary.spikeSlabGAM | Summary for posterior of a 'spikeSlabGAM' fit |

u | Generate design for an always included covariate |

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