CRAN/E | spAbundance

spAbundance

Univariate and Multivariate Spatial Modeling of Species Abundance

Installation

About

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 (2020) 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.

Citation spAbundance citation info
www.jeffdoser.com/files/spabundance-web
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 3.5.0
Published 2024-04-08 178 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks spAbundance results

Downloads

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Maintainer

Maintainer

Jeffrey Doser

Authors

Jeffrey Doser

aut / cre

Andrew Finley

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

spAbundance archive

Depends

R ≥ 3.5.0

Imports

stats
coda
abind
RANN
lme4
foreach
doParallel
methods

Suggests

testthat

Reverse Imports

spOccupancy