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AGBQR

0.1.0

Adaptive Generalized Bayesian Quantile Regression

0packages depend
400downloads / year
86.2%test coverage
13/13checks pass

Overview

About
Maintained by Khder AlakkariFirst published 2026-06-221 releasesCRAN page ↗

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
  • OK2026-06-23
    6 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
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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

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Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-22 · current release
  • R
    R 4.6.0 released · 2026-04-24

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
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