rdirichlet

Simulates a sample from a Dirichlet distribution

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

rdirichlet function

<dl> <dt>n</dt>
<dd>number of simulations required</dd> <dt>par</dt>
<dd>vector of parameters of the Dirichlet distribution</dd></dl>

Arguments

Author

Random draws from a Dirichlet distribution — rdirichlet

<dl>

 <dt>n</dt>
<dd>number of simulations required</dd>

 <dt>par</dt>
<dd>vector of parameters of the Dirichlet distribution</dd>

</dl>

rdirichlet: Random draws from a Dirichlet distribution

Description

Usage

Value

Arguments

Author

Examples