Package: abglasso 0.1.1

abglasso: Adaptive Bayesian Graphical Lasso

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>.

Authors:Jarod Smith [aut, cre], Mohammad Arashi [aut], Andriette Bekker [aut]

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Bug tracker:https://github.com/jarod-smithy/abglasso/issues

On CRAN:

1 exports 0.76 score 3 dependencies 1 scripts 431 downloads

Last updated 3 years agofrom:bdef787ba2. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:BayesGlassoBlock

Dependencies:MASSpracmastatmod