Package: multAbund
Type: Package
Title: Model Multivariate Abundance and Occurence Using the Dirichlet
        Process Prior
Version: 0.03.9002
Date: 2018-3-28
Author: Devin S. Johnson
Maintainer: Devin S. Johnson <devin.johnson@noaa.gov>
Description: This package provides RJMCMC samplers to make Bayesian
        inference for Joint Species Distribution models (JSDM) using a
        Dirichlet Process clustering method. The DP clustering method
        allows species to be grouped into functional guilds for
        modeling between species associations in abundance or occurence
        values at surveyed sites.
License: CC0
Imports: Rcpp, copula
Suggests: ggplot2, cowplot, magrittr, reshape2, knitr, rmarkdown,
        ggdendro
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
ByteCompile: TRUE
NeedsCompilation: yes
RoxygenNote: 7.1.2
Config/pak/sysreqs: libgsl0-dev
Repository: https://dsjohnson.r-universe.dev
Date/Publication: 2022-03-15 02:19:03 UTC
RemoteUrl: https://github.com/dsjohnson/multAbund
RemoteRef: HEAD
RemoteSha: 91880bfd4473139054b623dd42444b91f01c472f
Packaged: 2026-07-04 13:04:04 UTC; root