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.
- Version2.6.2
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- gjam citation info
- Last release05/23/2022
Documentation
Team
James S. Clark
Daniel Taylor-Rodriquez
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