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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 |
| In views: | Environmetrics |
| 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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