Computes the conditional abundance distribution given the data and model estimates
fitted model object
logical. If TRUE, returns the matrix of conditional probabilities. If FALSE, returns the expected values of the conditional distributions, i.e. the abundance estimates
These functions returnt the empirical Bayes estimates of the latent abundances from univariate and joint N-mixture models, as described by Royle (2004) and Moral et al. (submitted), respectively.
Rafael A. Moral <firstname.lastname@example.org>, Clarice G. B. Demétrio and John Hinde
Royle, J.A. (2004) Models for estimating population size from spatially replicated counts. Biometrics 60:108-105.
Moral, R.A., Hinde, J., Demétrio, C.G.B., Reigada, C. and Godoy, W.A.C. (submitted) Models for jointly estimating abundance of two unmarked site-associated species subject to imperfect detection.
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