View source: R/prior_classes.R
normprior | R Documentation |
Specify a normal prior for a ToxicR Bayesian model fit.
normprior(mean = 0, sd = 1, lb = -100, ub = 100)
mean |
mean of the prior |
sd |
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 1 (for normal), the second element the mean, the third element the variance, the fourth and fifth elements the lower and upper bounds, respectively.
# Normal Prior with mean 0,sd-1 normprior(mean = 0, sd = 1, lb = -1e4, ub=1e4) # Truncated Normal prior, Truncated below at 0 normprior(mean = 0, sd = 1, lb = 0, ub=1e4)
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