prior_bias() composes a step-selection
prior_weightfunction() and/or a prior_phacking() object. It does
not introduce new math; the backend compiler treats the composition as the
product of both kernels.
prior_bias(selection = NULL, phacking = NULL, prior_weights = 1)optional prior_weightfunction() object.
optional prior_phacking() object.
prior odds associated with a given distribution.
prior_bias() returns an object of class "prior".