High-Performance Open-Source Archive
Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.
| Version: | 2.7 |
| Depends: | R (≥ 2.10) |
| Imports: | Rcpp (≥ 0.11.5), MASS, RANN |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr |
| Published: | 2025-10-28 |
| DOI: | 10.32614/CRAN.package.gjam |
| Author: | James S. Clark [aut, cre], Daniel Taylor-Rodriquez [aut] |
| Maintainer: | James S. Clark <jimclark at duke.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | gjam citation info |
| In views: | Environmetrics |
| CRAN checks: | gjam results |
| Reference manual: | gjam.html , gjam.pdf |
| Vignettes: |
Generalized joint attribute modeling - gjam (source, R code) |
| Package source: | gjam_2.7.tar.gz |
| Windows binaries: | r-devel: gjam_2.7.zip, r-release: gjam_2.7.zip, r-oldrel: gjam_2.7.zip |
| macOS binaries: | r-release (arm64): gjam_2.7.tgz, r-oldrel (arm64): gjam_2.7.tgz, r-release (x86_64): gjam_2.7.tgz, r-oldrel (x86_64): gjam_2.7.tgz |
| Old sources: | gjam archive |
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