Package: spAbundance
Type: Package
Title: Univariate and Multivariate Spatial Modeling of Species
        Abundance
Version: 0.2.2
Authors@R: c(person("Jeffrey", "Doser", role=c("aut", "cre"), email="jwdoser@ncsu.edu"), person("Andrew", "Finley", role = c("aut")))
Description: 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
URL: https://www.doserlab.com/files/spabundance-web
        https://groups.google.com/g/spocc-spabund-users
BugReports: https://github.com/biodiverse/spAbundance/issues
Depends: R (>= 3.5.0)
Imports: stats, coda, abind, RANN, reformulas, foreach, doParallel,
        methods
Suggests: testthat
Repository: https://ecoverser.r-universe.dev
Date/Publication: 2026-06-29 19:28:34 UTC
RemoteUrl: https://github.com/ecoverser/spabundance
RemoteRef: HEAD
RemoteSha: eb65b7ac3c6823542737de9b53dcbd3e18fff51b
NeedsCompilation: yes
Packaged: 2026-06-29 20:03:17 UTC; root
Author: Jeffrey Doser [aut, cre],
  Andrew Finley [aut]
Maintainer: Jeffrey Doser <jwdoser@ncsu.edu>