View source: R/prior_classes.R
lnormprior | R Documentation |
Specify a log-normal prior for a ToxicR Bayesian model fit.
lnormprior(mean = 0, sd = 1, lb = -100, ub = 100)
mean |
log-mean of the prior distribution. |
sd |
log-sd of the prior distribution. |
lb |
lower bound on the distribution. Necessary for the optimization algorithms, To make sure it is a fully normal prior, make lb small relative to the mean/sd. |
ub |
Upper bound on the distribution. Necessary for the optimization algorithms, To make sure it is a fully normal prior, make ub large relative to the mean/sd. |
a normal prior model object This object essentially a vector with the first element as 2 (for log-normal), the second element the mean, the third element the log-variance, the fourth and fifth elements the lower and upper bounds, respectively.
# Log-Normal Prior with mean 0,sd-1 lnormprior(mean = 0, sd = 1, lb = -1e4, ub=1e4) # Truncated Log-Normal prior, Truncated below at 1 lnormprior(mean = 0, sd = 1, lb = 1, ub=1e4)
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