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: 2.6.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.5), MASS, RANN
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr
Published: 2022-05-23
Author: James S. Clark, Daniel Taylor-Rodriquez
Maintainer: James S. Clark <jimclark at duke.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: gjam citation info
CRAN checks: gjam results


Reference manual: gjam.pdf
Vignettes: Generalized joint attribute modeling - gjam


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


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