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)

Arguments

selection

optional prior_weightfunction() object.

phacking

optional prior_phacking() object.

prior_weights

prior odds associated with a given distribution.

Value

prior_bias() returns an object of class "prior".