abundance-prediction: Get empirical Bayes predictions of the latent abundances

Description Usage Arguments Details Author(s) References See Also

Description

Computes the conditional abundance distribution given the data and model estimates

Usage

1
2
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. Dem├ętrio 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., Dem├ętrio, 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.

See Also

Nmix jointNmix


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