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 <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.pdf Vignettes: Generalized joint attribute modeling - gjamPlease use the canonical form https://CRAN.R-project.org/package=gjam to link to this page.
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