jsilve24/mongrel: Bayesian Multinomial Logistic Normal Regression

Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Regression Models ("Mongrel Models") using MAP estimation (with the ADAM optimizer) and Laplace Approximation. Key functionality is implemented in C++ for scalability.

Getting started

Package details

AuthorJustin Silverman
MaintainerJustin Silverman <[email protected]>
LicenseGPL-3
Version0.1.5
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jsilve24/mongrel")
jsilve24/mongrel documentation built on Oct. 27, 2018, 8:15 p.m.