stray_package: stray: Fitting and Analysis of Multinomial Logistic Normal...
In jsilve24/mongrel: Bayesian Multinomial Logistic Normal Regression
Description
Provides methods for fitting and inspection of Bayesian Multinomial
Logistic Normal Models using MAP estimation
(with the ADAM optimizer) and Laplace Approximation. Key functionality is
implemented in C++ for scalability.
jsilve24/mongrel documentation built on Jan. 27, 2022, 9:54 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation (with the ADAM optimizer) and Laplace Approximation. Key functionality is implemented in C++ for scalability.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.