NormalPrior

Specifies a scalar Gaussian prior distribution.

normal.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

normal.prior function

<dl> <dt>mu</dt>
<dd>The mean of the prior distribution.</dd>
 <dt>sigma</dt>
<dd>The standard deviation of the prior distribution.</dd>
 <dt>initial.value</dt>
<dd>The initial value of the parameter being modeled
 in the MCMC algorithm.</dd>
 <dt>fixed</dt>
<dd>Should the deviate modeled by this distribution be fixed
 at its initial value? (Used for debugging in some code. Not
 universally respected.)</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

Normal (scalar Gaussian) prior distribution — normal.prior

<dl>

 <dt>mu</dt>
<dd>The mean of the prior distribution.</dd>


 <dt>sigma</dt>
<dd>The standard deviation of the prior distribution.</dd>


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


 <dt>fixed</dt>
<dd>Should the deviate modeled by this distribution be fixed
 at its initial value? (Used for debugging in some code. Not
 universally respected.)</dd>


 </dl>

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

normal.prior: Normal (scalar Gaussian) prior distribution

Description

Usage

Arguments

Author

References