| abundance-prediction {jointNmix} | R Documentation |
Get empirical Bayes predictions of the latent abundances
Description
Computes the conditional abundance distribution given the data and model estimates
Usage
getranef.uniNmix(obj, distr = FALSE)
getranef.jointNmix(obj, distr = FALSE)
Arguments
obj |
fitted model object |
distr |
logical. If TRUE, returns the matrix of conditional probabilities. If FALSE, returns the expected values of the conditional distributions, i.e. the abundance estimates |
Details
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.
Author(s)
Rafael A. Moral <rafael_moral@yahoo.com.br>, Clarice G. B. Demétrio and John Hinde
References
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.