uniform.prior {Boom}

Uniform prior distribution

Description

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

Usage

  UniformPrior(lo = 0, hi = 1, initial.value = NULL)

Arguments

lo

The lower limit of support.

hi

The upper limit of support.

initial.value

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

Author(s)

Steven L. Scott [e-mail]

References

Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.