fido
Bayesian Multinomial Logistic Normal Regression
Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.2 |
rolling source/ R- | fido_1.1.2.tar.gz |
2.2 MiB |
1.1.2 |
latest source/ R- | fido_1.1.2.tar.gz |
2.2 MiB |
1.1.2 |
2026-04-23 source/ R- | fido_1.1.2.tar.gz |
2.2 MiB |
1.1.2 |
2026-04-09 windows/windows R-4.5 | fido_1.1.2.zip |
4.0 MiB |