ordergibbs

Implements Gibbs sampling for estimating a two-way table of means
under a order restriction.

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

ordergibbs function

<dl> <dt>data</dt>
<dd>data matrix with first two columns observed sample means and sample sizes</dd> <dt>m</dt>
<dd>number of cycles of Gibbs sampling</dd></dl>

Arguments

Author

Gibbs sampling for a hierarchical regression model — ordergibbs

<dl>

 <dt>data</dt>
<dd>data matrix with first two columns observed sample means and sample sizes</dd>

 <dt>m</dt>
<dd>number of cycles of Gibbs sampling</dd>

</dl>

ordergibbs: Gibbs sampling for a hierarchical regression model

Description

Usage

Value

Arguments

Author

Examples