Uses Metropolis-Hastings to return random samples from the prior of a
<code>hyper2</code> object

A suite of routines for the hyperdirichlet distribution;
supersedes the 'hyperdirichlet' package.  Uses 'disordR' discipline.

Robin K S Hankin

hyper2

The Hyperdirichlet Distribution, Mark 2

rp function

<dl> <dt>H</dt>
<dd>Object of class <code>hyper2</code></dd> <dt>n</dt>
<dd>Number of samples</dd> <dt>startp</dt>
<dd>Starting value for the Markov chain, with default
 <code>NULL</code> being interpreted as starting from the evaluate</dd> <dt>fcm,fcv</dt>
<dd>Constraints as for <code>maxp()</code></dd> <dt>SMALL</dt>
<dd>Notional small value for numerical stability</dd> <dt>l</dt>
<dd>Log-likelihood function with default <code>loglik()</code></dd> <dt>...</dt>
<dd>Further arguments, currently ignored</dd></dl>

Arguments

Author

Random samples from the prior of a hyper2 object — rp

<dl>

 <dt>H</dt>
<dd>Object of class <code>hyper2</code></dd>

 <dt>n</dt>
<dd>Number of samples</dd>

 <dt>startp</dt>
<dd>Starting value for the Markov chain, with default
 <code>NULL</code> being interpreted as starting from the evaluate</dd>

 <dt>fcm,fcv</dt>
<dd>Constraints as for <code>maxp()</code></dd>

 <dt>SMALL</dt>
<dd>Notional small value for numerical stability</dd>

 <dt>l</dt>
<dd>Log-likelihood function with default <code>loglik()</code></dd>

 <dt>...</dt>
<dd>Further arguments, currently ignored</dd>

</dl>

rp: Random samples from the prior of a `hyper2` object

Description

Usage

Value

Arguments

Author

Details

See Also

Examples