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