fitted.svcAbund

Method for extracting model fitted values from a fitted spatially-varying coefficient GLMM (<code>svcAbund</code>).

model

Fits single-species (univariate) and multi-species (multivariate) non-spatial and spatial abundance models in a Bayesian framework using Markov Chain Monte Carlo (MCMC). Spatial models are fit using Nearest Neighbor Gaussian Processes (NNGPs). Details on NNGP models are given in Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091> and Finley, Datta, and Banerjee (2022) <doi:10.18637/jss.v103.i05>. Fits single-species and multi-species spatial and non-spatial versions of generalized linear mixed models (Gaussian, Poisson, Negative Binomial), N-mixture models (Royle 2004 <doi:10.1111/j.0006-341X.2004.00142.x>) and hierarchical distance sampling models (Royle, Dawson, Bates (2004) <doi:10.1890/03-3127>). Multi-species spatial models are fit using a spatial factor modeling approach with NNGPs for computational efficiency.

Jeffrey Doser

spAbundance

Univariate and Multivariate Spatial Modeling of Species
Abundance

Andrew Finley

fitted.svcAbund function

<dl> <dt>object</dt>
<dd>object of class <code>svcAbund</code>.</dd> <dt>...</dt>
<dd>currently no additional arguments</dd></dl>

Arguments

Extract Model Fitted Values for svcAbund Object — fitted.svcAbund

<dl>

 <dt>object</dt>
<dd>object of class <code>svcAbund</code>.</dd>

 <dt>...</dt>
<dd>currently no additional arguments</dd>

</dl>

fitted.svcAbund: Extract Model Fitted Values for svcAbund Object

Description

Usage

Value

Arguments

Details