UniformPrior

<p>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.</p>

initial.value

<p>Specifies a uniform prior distribution on a real-valued
  scalar parameter.</p>

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.

uniform.prior: Uniform prior distribution

Description

Usage

Arguments

References