Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation. Key functionality is implemented in C++ for scalability.
Maintainer: Justin Silverman Justin.Silverman@psu.edu
Other contributors:
Kim Roche kimberly.roche@duke.edu [contributor]
Michelle Nixon pistner@psu.edu [contributor]
Useful links: