ar1.coefficient.prior: Normal prior for an AR1 coefficient

In Boom: Bayesian Object Oriented Modeling

Normal prior for an AR1 coefficient

Description

A (possibly truncated) Gaussian prior on the autoregression coefficient in an AR1 model.

Usage

Ar1CoefficientPrior(mu = 0, sigma = 1, force.stationary = TRUE,
    force.positive = FALSE, initial.value = mu)

Arguments

mu	The mean of the prior distribution.
sigma	The standard deviation of the prior distribution.
force.stationary	Logical. If TRUE then the prior support for the AR1 coefficient will be truncated to (-1, 1).
force.positive	Logical. If TRUE then the prior for the AR1 coefficient will be truncated so that zero support is given to values less than zero.
initial.value	The initial value of the parameter being modeled in the MCMC algorithm.

Details

The Ar1CoefficientPrior() syntax is preferred, as it more closely matches R's syntax for other constructors.

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.