fido

fido-package

fido_package

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.

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'.

Justin Silverman

Bayesian Multinomial Logistic Normal Regression

Kim Roche

Michelle Nixon

fido_package function

Maintainer: Justin Silverman <a href="/link/Justin.Silverman%40psu.edu?package=fido&version=1.1.2" data-mini-rdoc="fido::Justin.Silverman@psu.edu">Justin.Silverman@psu.edu</a>
Other contributors:<ul>
<li>Kim Roche <a href="/link/kimberly.roche%40duke.edu?package=fido&version=1.1.2" data-mini-rdoc="fido::kimberly.roche@duke.edu">kimberly.roche@duke.edu</a> [contributor]</li>
<li>Michelle Nixon <a href="/link/pistner%40psu.edu?package=fido&version=1.1.2" data-mini-rdoc="fido::pistner@psu.edu">pistner@psu.edu</a> [contributor]</li>
</ul>

Author

fido: Fitting and Analysis of Multinomial Logistic Normal  Models — fido_package

Maintainer: Justin Silverman <a href='mailto:Justin.Silverman@psu.edu'>Justin.Silverman@psu.edu</a>
Other contributors:<ul>
<li>Kim Roche <a href='mailto:kimberly.roche@duke.edu'>kimberly.roche@duke.edu</a> [contributor]</li>
<li>Michelle Nixon <a href='mailto:pistner@psu.edu'>pistner@psu.edu</a> [contributor]</li>
</ul>

fido_package: fido: Fitting and Analysis of Multinomial Logistic Normal Models

Description

Arguments

Author

See Also