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:
multAbund_0.03.9002.tar.gz
multAbund_0.03.9002.zip(r-4.5)multAbund_0.03.9002.zip(r-4.4)multAbund_0.03.9002.zip(r-4.3)
multAbund_0.03.9002.tgz(r-4.4-x86_64)multAbund_0.03.9002.tgz(r-4.4-arm64)multAbund_0.03.9002.tgz(r-4.3-x86_64)multAbund_0.03.9002.tgz(r-4.3-arm64)
multAbund_0.03.9002.tar.gz(r-4.5-noble)multAbund_0.03.9002.tar.gz(r-4.4-noble)
multAbund_0.03.9002.tgz(r-4.4-emscripten)multAbund_0.03.9002.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/dsjohnson/multabund/issues
Last updated 3 years agofrom:91880bfd44. Checks:OK: 6 WARNING: 3. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.5-linux-x86_64 | OK | Nov 02 2024 |
| R-4.4-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.4-mac-x86_64 | OK | Nov 02 2024 |
| R-4.4-mac-aarch64 | OK | Nov 02 2024 |
| R-4.3-win-x86_64 | WARNING | Nov 02 2024 |
| R-4.3-mac-x86_64 | OK | Nov 02 2024 |
| R-4.3-mac-aarch64 | OK | Nov 02 2024 |
Exports:get_opt_alpha_priormake_data_listmult_abund_normmult_abund_poismult_abund_probitmult_abund_zipview_example
Dependencies:ADGofTestcolorspacecopulagsllatticeMatrixmvtnormnumDerivpcaPPpsplineRcppRcppArmadilloRcppProgressstabledist
