Generalized Joint Attribute Modeling [R package gjam version 2.7]

gjam: Generalized Joint Attribute Modeling

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年10月28日

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

Documentation:

Reference manual: gjam.html , gjam.pdf

Vignettes: Generalized joint attribute modeling - gjam (source, R code)

Downloads:

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

Linking:

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