dbystrova/GJAM_clust: 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

Package details

AuthorJames S. Clark, Daniel Taylor-Rodriquez
MaintainerJames S. Clark <jimclark@duke.edu>
LicenseGPL (>= 2)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
dbystrova/GJAM_clust documentation built on Sept. 15, 2020, 5:46 p.m.