Description
Implements a Bayesian adaptive graphical lasso data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler was adapted from the original MATLAB routine proposed in Wang (2012) <doi:10.1214/12-BA729>.
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| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | NOTE |
| r-devel-linux-x86_64-fedora-gcc | NOTE |
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| r-devel-windows-x86_64 | OK |
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| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
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| r-release-windows-x86_64 | OK |
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r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespace in Imports field not imported from: ‘MASS’ All declared Imports should be used.
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dependencies in R code
Namespace in Imports field not imported from: ‘MASS’ All declared Imports should be used.
Changelog
Full NEWS →v0.1.1
Adaptive Bayesian Graphical Lasso
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
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r-devel-linux-x86_64-fedora-clang
dependencies in R code
Namespace in Imports field not imported from: ‘MASS’ All declared Imports should be used.
NOTE
r-devel-linux-x86_64-fedora-gcc
dependencies in R code
Namespace in Imports field not imported from: ‘MASS’ All declared Imports should be used.