BetaPrior

Specifies beta prior distribution for a binomial
 probability parameter.

beta.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

beta.prior function

<dl> <dt>a</dt>
<dd>A positive real number interpretable as a prior success count.</dd> <dt>b</dt>
<dd>A positive real number interpretable as a prior failure
 count.</dd> <dt>mean</dt>
<dd>A positive real number representing <code>a/(a+b)</code>.</dd> <dt>sample.size</dt>
<dd>A positive real number representing <code>a+b</code>.</dd> <dt>initial.value</dt>
<dd>An initial value to be used for the variable
 being modeled. If <code>NULL</code> then the mean of the distribution
 will be used instead.</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

Beta prior for a binomial proportion — beta.prior

<dl>

 <dt>a</dt>
<dd>A positive real number interpretable as a prior success count.</dd>

 <dt>b</dt>
<dd>A positive real number interpretable as a prior failure
 count.</dd>

 <dt>mean</dt>
<dd>A positive real number representing <code>a/(a+b)</code>.</dd>

 <dt>sample.size</dt>
<dd>A positive real number representing <code>a+b</code>.</dd>

 <dt>initial.value</dt>
<dd>An initial value to be used for the variable
 being modeled. If <code>NULL</code> then the mean of the distribution
 will be used instead.</dd>

</dl>

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

beta.prior: Beta prior for a binomial proportion

Description

Usage

Arguments

Author

Details

References