abglasso
0.1.1Adaptive Bayesian Graphical Lasso
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4.4Kdownloads / year
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Overview
About
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.
Latest changes · 0.1.1
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- NOTE r-devel-linux-x86_64-debian-gcc
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Slowest check: 45 s · r-oldrel-windows-x86_64
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Coverage · measured lines
100%
Documentation · exports
4
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Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMEYes · 39 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
- Examples that run
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- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
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Also on143 r2u2 autocran55 c2d4u
Dependencies
Declared dependencies
3 external dependencies (excludes base and recommended)
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Code & Tests
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People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author · added in 0.1.1
Author · added in 0.1.1
Package Timeline
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.1Latest
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-05-12
- RR 4.0.0 released · 2020-04-24
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Package metadata
- First published
- 2021-05-12
- Total releases
- 2 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 8.1 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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