shrinkem

cranv0.2.0

Approximate Bayesian Regularization for Parsimonious Estimates. Approximate Bayesian regularization using Gaussian approximations. The input is a vector of estimates and a Gaussian error covariance matrix of the key parameters. Bayesian shrinkage is then applied to obtain parsimonious solutions. The method is described on Karimova, van Erp, Leenders, and Mulder

License GPL (>= 3)0 versions1 maintainers6 deps68 weekly dl
https://CRAN.R-project.org/package=shrinkem
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Dependencies (6)
statsmvtnormextraDistrbrmsCholWishartmatrixcalc
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First published · 2024-10-05 10:47:08

Last updated · 2024-10-05T09:20:03+00:00