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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>.
Getting started
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Package details |
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| Author | James S. Clark, Daniel Taylor-Rodriquez |
| Maintainer | James S. Clark <jimclark@duke.edu> |
| License | GPL (>= 2) |
| Version | 2.6.2 |
| Package repository | View on CRAN |
| Installation |
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