Understand and Describe Bayesian Models and Posterior Distributions

area_under_curve | Area under the Curve (AUC) |

as.data.frame.density | Coerce to a Data Frame |

as.numeric.p_direction | Convert to Numeric |

bayesfactor | Bayes Factors (BF) |

bayesfactor_inclusion | Inclusion Bayes Factors for testing predictors across... |

bayesfactor_models | Bayes Factors (BF) for model comparison |

bayesfactor_parameters | Bayes Factors (BF) for a Single Parameter |

bayesfactor_restricted | Bayes Factors (BF) for Order Restricted Models |

check_prior | Check if Prior is Informative |

ci | Confidence/Credible/Compatibility Interval (CI) |

contr.bayes | Orthonormal Contrast Matrices for Bayesian Estimation |

convert_bayesian_as_frequentist | Convert (refit) a Bayesian model to frequentist |

density_at | Density Probability at a Given Value |

describe_posterior | Describe Posterior Distributions |

describe_prior | Describe Priors |

diagnostic_posterior | Posteriors Sampling Diagnostic |

distribution | Empirical Distributions |

dot-extract_priors_rstanarm | Extract and Returns the priors formatted for rstanarm |

dot-flatten_list | Flatten a list |

dot-prior_new_location | Set a new location for a prior |

dot-select_nums | select numerics columns |

effective_sample | Effective Sample Size (ESS) |

equivalence_test | Test for Practical Equivalence |

estimate_density | Density Estimation |

eti | Equal-Tailed Interval (ETI) |

hdi | Highest Density Interval (HDI) |

map_estimate | Maximum A Posteriori probability estimate (MAP) |

mcse | Monte-Carlo Standard Error (MCSE) |

overlap | Overlap Coefficient |

p_direction | Probability of Direction (pd) |

pd_to_p | Convert between Probability of Direction (pd) and p-value. |

p_map | Bayesian p-value based on the density at the Maximum A... |

point_estimate | Point-estimates of posterior distributions |

p_rope | ROPE-based p-value |

p_significance | Practical Significance (ps) |

reshape_ci | Reshape CI between wide/long formats |

rope | Region of Practical Equivalence (ROPE) |

rope_range | Find Default Equivalence (ROPE) Region Bounds |

sensitivity_to_prior | Sensitivity to Prior |

simulate_correlation | Data Simulation |

simulate_prior | Returns Priors of a Model as Empirical Distributions |

update.bayesfactor_models | Update bayesfactor_models |

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