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This\nGaussian Inverse Wishart Empirical Bayes model substantially\nreduces computational complexity, and regularizes the\neigen-values of the sample covariance matrix to improve\nout-of-sample performance.", "License": "Artistic-2.0", "Encoding": "UTF-8", "URL": "https://gabrielhoffman.github.io/decorrelate/", "BugReports": "https://github.com/GabrielHoffman/decorrelate/issues", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "make", "Repository": "https://gabrielhoffman.r-universe.dev", "Date/Publication": "2025-07-24 00:17:56 UTC", "RemoteUrl": "https://github.com/gabrielhoffman/decorrelate", "RemoteRef": "HEAD", "RemoteSha": "e84c0eb5b06f0f45a565f5ebcc1ad31ea57a75b8", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-20 08:39:03 UTC", "User": "root" }, "Author": "Gabriel Hoffman [aut, cre] (ORCID:\n)", "Maintainer": "Gabriel Hoffman ", "MD5sum": "48bba376f8e0899e72cdd35bda8a21cf", "_user": "gabrielhoffman", "_type": "src", "_file": 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