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) .


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install.packages("gjam")

2.2.4 by James S. Clark, 22 days ago


Browse source code at https://github.com/cran/gjam


Authors: James S. Clark, Daniel Taylor-Rodriquez


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, MASS, RANN

Suggests knitr

Linking to Rcpp, RcppArmadillo


See at CRAN