baygel

Bayesian Shrinkage Estimators for Precision Matrices in Gaussian Graphical Models

v0.3.0 · Nov 11, 2023 · GPL (>= 3)

Description

This R package offers block Gibbs samplers for the Bayesian (adaptive) graphical lasso, ridge, and naive elastic net priors. These samplers facilitate the simulation of the posterior distribution of precision matrices for Gaussian distributed data and were originally proposed by: Wang (2012) <doi:10.1214/12-BA729>; Smith et al. (2022) <doi:10.48550/arXiv.2210.16290> and Smith et al. (2023) <doi:10.48550/arXiv.2306.14199>, respectively.

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	135.5s
r-devel-linux-x86_64-debian-gcc	OK	91.4s
r-devel-linux-x86_64-fedora-clang	OK	182.8s
r-devel-linux-x86_64-fedora-gcc	OK	242.7s
r-devel-macos-arm64	OK	22s
r-devel-windows-x86_64	OK	184s
r-oldrel-macos-arm64	NOTE
r-oldrel-macos-x86_64	NOTE	77s
r-oldrel-windows-x86_64	OK	220s
r-patched-linux-x86_64	OK	131.6s
r-release-linux-x86_64	OK	130.9s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	58s
r-release-windows-x86_64	OK	190s

Check details (14 non-OK)

OK r-devel-linux-x86_64-debian-clang

OK r-devel-linux-x86_64-debian-gcc

OK r-devel-linux-x86_64-fedora-clang

OK r-devel-linux-x86_64-fedora-gcc

OK r-devel-macos-arm64

OK r-devel-windows-x86_64

NOTE r-oldrel-macos-arm64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

OK r-oldrel-windows-x86_64

OK r-patched-linux-x86_64

OK r-release-linux-x86_64

OK r-release-macos-arm64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

NOTE r-oldrel-macos-arm64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  5.5Mb
  sub-directories of 1Mb or more:
    libs   5.4Mb

Dependency Network

Version History

new 0.3.0 Mar 9, 2026