bfexch

Computes the logarithm of the integral of the Bayes factor for testing homogeneity of a set of proportions

models

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference.  It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions.  It contains MCMC algorithms for summarizing posterior distributions defined by the user.  It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Jim Albert

LearnBayes

Functions for Learning Bayesian Inference

bfexch function

<dl> <dt>theta</dt>
<dd>value of the logit of the prior mean hyperparameter</dd> <dt>datapar</dt>
<dd>list with components data, matrix with columns y (counts) and n (sample sizes), and K, prior
precision hyperparameter</dd></dl>

Arguments

Author

Logarithm of integral of Bayes factor for testing homogeneity of proportions — bfexch

<dl>

 <dt>theta</dt>
<dd>value of the logit of the prior mean hyperparameter</dd>

 <dt>datapar</dt>
<dd>list with components data, matrix with columns y (counts) and n (sample sizes), and K, prior
precision hyperparameter</dd>

</dl>

bfexch: Logarithm of integral of Bayes factor for testing homogeneity of proportions

Description

Usage

Value

Arguments

Author

Examples