Teaching Bayesian Inference

bar_plot | Bar plot of numeric or character data |

bayesian_crank | Computes Posterior Probabilities for Discrete Models |

beta_area | Displays Areas Under a Beta Curve |

beta_data | Simulate random data from a beta curve |

beta_draw | Draw a Beta Curve |

beta_interval | Probability Interval for a Beta Curve |

beta_prior_post | Plot of Two Beta Curves |

beta_quantile | Displays a Quantile of a Beta Curve |

ChooseBeta | Shiny App to Choose a Beta Curve |

draw_two_p | Plot of Distribution of Two Proportions |

dsampling | Hypergeometric sampling density |

dspinner | Computes likelihoods for spinner outcomes |

many_normal_plots | Graph of several normal curves |

many_spinner_plots | Graphs a collection of spinners |

normal_area | Displays Area Under a Normal Curve |

normal_draw | Draws a Normal Curve |

normal_interval | Probability Interval for a Normal Curve |

normal_quantile | Displays a Quantile of a Normal Curve |

normal_update | Updates a Normal Prior with Normal Data |

prior_post_plot | Graphs prior and posterior probabilities |

prob_plot | Constructs a graph of a probability distribution |

spinner_bayes | Implements Bayes' rule for a spinner problem |

spinner_data | Simulate random data from a spinner |

spinner_likelihoods | Computes likelihood matrix for many spinners |

spinner_plot | Constructs a spinner |

spinner_probs | Display probability distribution for a spinner |

testing_prior | Testing prior for two proportions |

two_p_summarize | Summaries of a probability matrix |

two_p_update | Posterior updating of two proportions |

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