lognormal.prior: Lognormal Prior Distribution

In Boom: Bayesian Object Oriented Modeling

Lognormal Prior Distribution

Description

Specifies a lognormal prior distribution.

Usage

  LognormalPrior(mu = 0.0, sigma = 1.0, initial.value = NULL)

Arguments

mu	mean of the corresponding normal distribution.
sigma	standard deviation of the corresponding normal distribution. WARNING: If something looks strange in your program, look out for SD != Variance errors.
initial.value	Initial value of the variable to be modeled (e.g. in an MCMC algorithm). If NULL then the prior mean will be used.

Details

A lognormal distribution, where log(y) ~ N(mu, sigma). The mean of this distribution is exp(mu + 0.5 * sigma^2), so don't only focus on the mean parameter here.

Author(s)

Steven L. Scott [e-mail]

References

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

https://en.wikipedia.org/wiki/Log-normal_distribution

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