abundance-prediction: Get empirical Bayes predictions of the latent abundances
In jointNmix: Joint N-Mixture Models for Site-Associated Species

Description Usage Arguments Details Author(s) References See Also

Computes the conditional abundance distribution given the data and model estimates

1 2	getranef.uniNmix(obj, distr = FALSE) getranef.jointNmix(obj, distr = FALSE)

`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

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 <rafael_moral@yahoo.com.br>, 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.

Nmix jointNmix

jointNmix documentation built on May 2, 2019, 8:18 a.m.