SBmedian
0.1.2Scalable Bayes with Median of Subset Posteriors
0packages depend
2.7Kdownloads / year
–test coverage
13/13checks pass
Overview
About
Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) doi:10.3150/14-BEJ645.
Install
Health
CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 50%
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20730 days
68390 days
2.7K1 year
Also on442 r2u13 autocran
Dependencies
Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (2)
Suggests (0)
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Enhances (0)
none
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Code & Tests
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Package Timeline
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest
- 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
- 0.1.12021-08-16 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.02020-02-26
- RR 3.6.0 released · 2019-04-26
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Package metadata
- First published
- 2020-02-26
- Total releases
- 3 / 6 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 18 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet