summarize_beta_binomial

Consider a Beta-Binomial Bayesian model for parameter \(\pi\) with 
a Beta(alpha, beta) prior on \(\pi\) and Binomial likelihood with n trials
and y successes. Given information on the prior (alpha and data) and data (y and n),
this function summarizes the mean, mode, and variance of the 
prior and posterior Beta models of \(\pi\).

Provides datasets and functions used for analysis
and visualizations in the Bayes Rules! book (<https://www.bayesrulesbook.com>).
The package contains a set of functions that summarize and plot Bayesian models from some conjugate families
and another set of functions for evaluation of some Bayesian models.

Mine Dogucu

bayesrules

Datasets and Supplemental Functions from Bayes Rules! Book

Alicia Johnson

Miles Ott

summarize_beta_binomial function

<dl><dt>alpha, beta</dt>
<dd>positive shape parameters of the prior Beta model</dd>
<dt>y</dt>
<dd>number of successes</dd>
<dt>n</dt>
<dd>number of trials</dd></dl>

Arguments

Summarize a Beta-Binomial Bayesian model — summarize_beta_binomial

<dl>

<dt>alpha, beta</dt>
<dd>positive shape parameters of the prior Beta model</dd>


<dt>y</dt>
<dd>number of successes</dd>


<dt>n</dt>
<dd>number of trials</dd>

</dl>

summarize_beta_binomial: Summarize a Beta-Binomial Bayesian model

Description

Usage

Value

Arguments

Examples