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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

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 fido_1.1.2.tar.gz 3.5 MiB
1.1.2 rolling linux/noble R-4.5 fido_1.1.2.tar.gz 3.6 MiB
1.1.2 rolling source/ R- fido_1.1.2.tar.gz 2.2 MiB
1.1.2 latest linux/jammy R-4.5 fido_1.1.2.tar.gz 3.5 MiB
1.1.2 latest linux/noble R-4.5 fido_1.1.2.tar.gz 3.6 MiB
1.1.2 latest source/ R- fido_1.1.2.tar.gz 2.2 MiB
1.1.2 2026-04-26 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
1.1.2 2025-04-20 source/ R- fido_1.1.2.tar.gz 2.2 MiB

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