Plotting for Bayesian Models

available_ppc | Get or view the names of available plotting functions |

bayesplot-colors | Set, get, or view color schemes |

bayesplot-extractors | Extract quantities needed for plotting from model objects |

bayesplot_grid | Arrange plots in a grid |

bayesplot-helpers | Convenience functions for adding or changing plot details |

bayesplot-package | Plots for Bayesian Models |

bayesplot_theme_get | Get, set, and modify the active bayesplot theme |

example-data | Example draws to use in demonstrations and tests |

MCMC-combos | Combination plots |

MCMC-diagnostics | General MCMC diagnostics |

MCMC-distributions | Histograms and kernel density plots of MCMC draws |

MCMC-intervals | Plot interval estimates from MCMC draws |

MCMC-nuts | Diagnostic plots for the No-U-Turn-Sampler (NUTS) |

MCMC-overview | Plots for Markov chain Monte Carlo simulations |

MCMC-parcoord | Parallel coordinates plot of MCMC draws |

MCMC-recover | Compare MCMC estimates to "true" parameter values |

MCMC-scatterplots | Scatterplots of MCMC draws |

MCMC-traces | Trace plot (time series plot) of MCMC draws |

PPC-discrete | PPCs for discrete outcomes |

PPC-distributions | PPC distributions |

PPC-errors | PPC errors |

pp_check | Posterior predictive checks (S3 generic and default method) |

PPC-intervals | PPC intervals |

PPC-loo | LOO predictive checks |

PPC-overview | Graphical posterior predictive checking |

PPC-scatterplots | PPC scatterplots |

PPC-test-statistics | PPC test statistics |

theme_default | Default bayesplot plotting theme |

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