normal.prior: Normal (scalar Gaussian) prior distribution

In Boom: Bayesian Object Oriented Modeling

Normal (scalar Gaussian) prior distribution

Description

Specifies a scalar Gaussian prior distribution.

Usage

NormalPrior(mu, sigma, initial.value = mu, fixed = FALSE)

Arguments

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

Author(s)

Steven L. Scott [e-mail]

References

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

Boom documentation built on May 29, 2024, 5:08 a.m.