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 |
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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> |
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Vignettes: | Generalized joint attribute modeling - gjam (source, R code) |
Downloads:
Package source: | gjam_2.6.2.tar.gz |
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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:
Please use the canonical formhttps://CRAN.R-project.org/package=gjamto link to this page.