smooth.OM.point_lik

OM.point_lik(log=True)

Per-observation log-likelihood of the occurrence model.

Bernoulli contribution of each observation: log(p_t) when the event occurred (o_t = 1) and log(1 - p_t) otherwise, where p_t is the fitted occurrence probability. Mirrors R’s pointLik.om (R/methods.R:598). sum(point_lik()) equals loglik. With log=False the densities themselves are returned.