Package: multAbund 0.03.9002

multAbund: Model Multivariate Abundance and Occurence Using the Dirichlet Process Prior

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.

Authors:Devin S. Johnson

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multAbund.pdf |multAbund.html
multAbund/json (API)

# Install 'multAbund' in R:
install.packages('multAbund', repos = c('https://dsjohnson.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/dsjohnson/multabund/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

7 exports 3 stars 0.36 score 14 dependencies 4 scripts

Last updated 3 years agofrom:91880bfd44. Checks:OK: 6 WARNING: 3. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 03 2024
R-4.5-win-x86_64WARNINGSep 03 2024
R-4.5-linux-x86_64OKSep 03 2024
R-4.4-win-x86_64WARNINGSep 03 2024
R-4.4-mac-x86_64OKSep 03 2024
R-4.4-mac-aarch64OKSep 03 2024
R-4.3-win-x86_64WARNINGSep 03 2024
R-4.3-mac-x86_64OKSep 03 2024
R-4.3-mac-aarch64OKSep 03 2024

Exports:get_opt_alpha_priormake_data_listmult_abund_normmult_abund_poismult_abund_probitmult_abund_zipview_example

Dependencies:ADGofTestcolorspacecopulagsllatticeMatrixmvtnormnumDerivpcaPPpsplineRcppRcppArmadilloRcppProgressstabledist