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Standard Beta(shape1, shape2) on (0, 1), matching stats::dbeta(). For priors on stock-recruit steepness on the standard (0.2, 1) interval, transform inside the model and use prior_beta() on the rescaled quantity.

Usage

prior_beta(shape1, shape2)

Arguments

shape1, shape2

positive shape parameters.

Value

An Rceattle_prior of family "beta".