fido: Fitting and Analysis of Multinomial Logistic Normal Models — fido_package • fido

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.

See also

Useful links:

https://jsilve24.github.io/fido/
Report bugs at https://github.com/jsilve24/fido/issues

Author

Maintainer: Michelle Nixon pistner@psu.edu [contributor]

Authors:

Justin Silverman Justin.Silverman@psu.edu

Other contributors:

Kim Roche kimberly.roche@duke.edu [contributor]