jsilve24/mongrel: Bayesian Multinomial Logistic Normal Regression
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.
Getting started
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Package details |
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| Author | Justin Silverman |
| Maintainer | Justin Silverman <Justin.Silverman@duke.edu> |
| License | GPL (>=2) |
| Version | 0.1.13 |
| URL | https://jsilve24.github.io/stray/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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