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abglasso
View on CRAN: Click
here
Download and install abglasso package within the R console
Install from CRAN:
install.packages("abglasso")
Install from Github:
library("remotes")
install_github("cran/abglasso") Install by package version:
library("remotes")
install_version("abglasso", "0.1.1") Attach the package and use:
library("abglasso")
Maintained by
Jarod Smith
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-12
Latest Update: 2021-07-13
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) .
How to cite:
Jarod Smith (2021). abglasso: Adaptive Bayesian Graphical Lasso. R package version 0.1.1, https://cran.r-project.org/web/packages/abglasso. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 0.1.0 (2021-05-12 14:02)
Other packages that cited abglasso R package
View abglasso citation profile
Other R packages that abglasso depends,
imports, suggests or enhances
Complete documentation for abglasso
Functions, R codes and Examples using
the abglasso R package
Some associated functions: BayesGlassoBlock .
Some associated R codes: BayesGlassoBlock.R . Full abglasso package functions and examples
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