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gjam: Generalized Joint Attribute Modeling (original) (raw)

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: 2.6.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), MASS, RANN
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr
Published: 2022-05-23
DOI: 10.32614/CRAN.package.gjam
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: gjam citation info
In views: Environmetrics
CRAN checks: gjam results [issues need fixing before 2025-11-15]

Documentation:

Reference manual: gjam.html , <gjam.pdf>
Vignettes: Generalized joint attribute modeling - gjam (source, R code)

Downloads:

Package source: gjam_2.6.2.tar.gz
Windows binaries: r-devel: gjam_2.6.2.zip, r-release: gjam_2.6.2.zip, r-oldrel: gjam_2.6.2.zip
macOS binaries: r-release (arm64): gjam_2.6.2.tgz, r-oldrel (arm64): gjam_2.6.2.tgz, r-release (x86_64): gjam_2.6.2.tgz, r-oldrel (x86_64): gjam_2.6.2.tgz
Old sources: gjam archive

Linking:

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