Description Usage Arguments Value
A collection of functions used to specify priors to pass to Bayesian models.
1 2 3 4 5 6 7 |
mean, location |
Prior for the location parameter. This typically the mean,
but for a Cauchy distribution (which is a |
sd, scale |
Prior for the scale parameter, which determines the dispersion of the distribution. |
shape, rate |
Shape and rate parameters for the inverse gamma distribution. |
min, max |
Lower and upper limits of the distribution. Must be finite. |
A named list to be used inside ecmeta()
and predict.ecmeta
functions.
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