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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>.
Version: | 0.1.1 |
Imports: | MASS, pracma, stats, statmod |
Suggests: | testthat |
Published: | 2021-07-13 |
DOI: | 10.32614/CRAN.package.abglasso |
Author: | Jarod Smith |
Maintainer: | Jarod Smith <jarodsmith706 at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
In views: | Bayesian |
CRAN checks: | abglasso results |
Reference manual: | abglasso.pdf |
Package source: | abglasso_0.1.1.tar.gz |
Windows binaries: | r-devel: abglasso_0.1.1.zip, r-release: abglasso_0.1.1.zip, r-oldrel: abglasso_0.1.1.zip |
macOS binaries: | r-release (arm64): abglasso_0.1.1.tgz, r-oldrel (arm64): abglasso_0.1.1.tgz, r-release (x86_64): abglasso_0.1.1.tgz, r-oldrel (x86_64): abglasso_0.1.1.tgz |
Old sources: | abglasso archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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