closedN(object, estimator = NULL, level = 0.95, maxN = 1e+07,
dmax = 10 )capthist objectregion.N.null, zippin, darroch, h2, and
betabinomial.
Model weights are calculated as $$w_i = \frac{\exp(-\Delta_i / 2)}{
\sum{\exp(-\Delta_i / 2)}}$$
Models for which dAICc > dmax are given a weight of zero and are
excluded from the summation, as are non-likelihood models.
Computation of null, zippin and darroch estimates
differs slightly from Otis et al. (1978) in that the likelihood is
maximized over real values of N between Mt1 and maxN,
whereas Otis et al. considered only integer values.
Asymmetric confidence intervals are obtained in the same way for all
estimators, using a log transformation of $\hat{N}-Mt1$
following Burnham et al. (1987), Chao (1987) and Rexstad and Burnham
(1991).
The available estimators are
null M0 null Otis et al. 1978 p.105
zippin Mb removal Otis et al. 1978 p.108
darroch Mt Darroch Otis et al. 1978 p.106-7
h2 Mh 2-part finite mixture Pledger 2000
betabinomial Mh Beta-binomial continuous mixture Dorazio and Royle 2003
jackknife Mh jackknife Burnham and Overton 1978
chao Mh Chao's Mh estimator Chao 1987
chaomod Mh Chao's modified Mh estimator Chao 1987
chao.th1 Mth sample coverage estimator 1 Lee and Chao 1994
chao.th2 Mth sample coverage estimator 2 Lee and Chao 1994
}capthist,
closure.test,
region.N