AGBQR
0.1.0Adaptive Generalized Bayesian Quantile Regression
0packages depend
400downloads / year
86.2%test coverage
13/13checks pass
Overview
About
Implements adaptive generalized Bayesian quantile regression with quantile-specific learning rates, HAC-based calibration, Gibbs posterior simulation, posterior summaries, predictive evaluation, and visualization tools. The package builds on the generalized Bayesian composite quantile regression framework of Hardy and Korobilis (2026) doi:10.2139/ssrn.6618603 by allowing learning rates to vary across quantile levels. The implementation is designed for empirical work with small and moderate time-series samples where posterior calibration and tail-specific inference are important.
Install
Health
CRAN checks
13OK
Slowest check: 1.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.08
86.2%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
- OK2026-06-236 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
400
CRAN downloads in the past year
Rank #23,776 · ~1/day · ~33/mo
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32130 days
40090 days
4001 year
Also on2 r2u12 autocran
Dependencies
Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (3)
quantregMASSstats
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Nothing depends on this yet.
Code & Tests
People & History
Package Timeline
1 release. R releases are shown for context.
- 0.1.0Latest2026-06-22 · current release
- RR 4.6.0 released · 2026-04-24
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Package metadata
- First published
- 2026-06-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet