Specifies a lognormal prior distribution.
LognormalPrior(mu = 0.0, sigma = 1.0, initial.value = NULL)
mean of the corresponding normal distribution.
standard deviation of the corresponding normal distribution. WARNING: If something looks strange in your program, look out for SD != Variance errors.
Initial value of the variable to be modeled
(e.g. in an MCMC algorithm). If NULL then the prior mean will
be used.
Steven L. Scott steve.the.bayesian@gmail.com
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.
Gelman, Carlin, Stern, Rubin (2003), "Bayesian Data Analysis", Chapman and Hall.