UniformPrior

Specifies a uniform prior distribution on a real-valued
 scalar parameter.

uniform.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

uniform.prior function

<dl> <dt>lo</dt>
<dd>The lower limit of support.</dd> <dt>hi</dt>
<dd>The upper limit of support.</dd>
 <dt>initial.value</dt>
<dd>The initial value of the parameter in question to
 use in the MCMC algorithm. If <code>NULL</code> then the mean <code>(lo +
 hi)/2</code> is used.</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

Uniform prior distribution — uniform.prior

<dl>

 <dt>lo</dt>
<dd>The lower limit of support.</dd>

 <dt>hi</dt>
<dd>The upper limit of support.</dd>


 <dt>initial.value</dt>
<dd>The initial value of the parameter in question to
 use in the MCMC algorithm. If <code>NULL</code> then the mean <code>(lo +
 hi)/2</code> is used.</dd>
 </dl>

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

uniform.prior: Uniform prior distribution

Description

Usage

Arguments

Author

References