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Title: Bayesian Multinomial Logistic Normal Regression | ||
Version: 1.1.0 | ||
Date: 2024-05-15 | ||
Authors@R: c(person("Justin", "Silverman", role=c("aut"), | ||
email = "Justin.Silverman@psu.edu"), | ||
Authors@R: c(person("Justin", "Silverman", role=c("aut", "cre"), | ||
email = "JustinSilverman@psu.edu"), | ||
person("Kim", "Roche", role=("ctb"), | ||
email = "[email protected]"), | ||
person("Michelle", "Nixon", role=c("ctb","cre"), | ||
email = "[email protected]")) | ||
Maintainer: Michelle Nixon | ||
<pistner@psu.edu> | ||
person("Michelle", "Nixon", role=c("aut"), | ||
email = "[email protected]")) | ||
Maintainer: Justin Silverman | ||
<JustinSilverman@psu.edu> | ||
Description: 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'. | ||
License: GPL-3 | ||
URL: https://jsilve24.github.io/fido/ | ||
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