DirichletPrior

Specifies Dirichlet prior for a discrete probability
 distribution.

dirichlet.prior

A C++ library for Bayesian modeling, with an emphasis on Markov
chain Monte Carlo.  Although boom contains a few R utilities (mainly plotting
functions), its primary purpose is to install the BOOM C++ library on your
system so that other packages can link against it.

Steven Scott

Boom

Bayesian Object Oriented Modeling

dirichlet.prior function

<dl> <dt>prior.counts</dt>
<dd>A vector of positive numbers representing prior counts.</dd> <dt>initial.value</dt>
<dd>The initial value in the MCMC algorithm of the
 distribution being modeled.</dd></dl>

Arguments

Steven L. Scott <a href="/link/steve.the.bayesian%40gmail.com?package=Boom&version=0.9.15" data-mini-rdoc="Boom::steve.the.bayesian@gmail.com">steve.the.bayesian@gmail.com</a>

Author

Dirichlet prior for a multinomial distribution — dirichlet.prior

<dl>

 <dt>prior.counts</dt>
<dd>A vector of positive numbers representing prior counts.</dd>

 <dt>initial.value</dt>
<dd>The initial value in the MCMC algorithm of the
 distribution being modeled.</dd>

</dl>

Steven L. Scott <a href='mailto:steve.the.bayesian@gmail.com'>steve.the.bayesian@gmail.com</a>

dirichlet.prior: Dirichlet prior for a multinomial distribution

Description

Usage

Arguments

Author

References