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BayesQRCount

0.1.0Package record

Adaptive Bayesian Quantile Regression for Count Data

0packages depend
573downloads / year
75.9%test coverage
13/13flavors OK

Overview

About

Implements Bayesian quantile regression for count data using the jittering technique for discrete data smoothing and an asymmetric Laplace distribution likelihood. Supports adaptive variable selection via a random-bridge penalty with a beta prior on the power parameter, as well as fixed-bridge and Lasso penalties. Utilizes Markov chain Monte Carlo with Gibbs sampling and adaptive Metropolis-Hastings algorithms for posterior inference, provides Gelman-Rubin convergence diagnostics, and predicts conditional quantiles for count responses. Methodology and applications are based on the following key references: Luo, Zhou, Hu, and Li (2026, Journal of Mathematics, 2026:1543166, doi:10.1155/jom/1543166), Koenker and Bassett (1978, Econometrica, 46, 33-50, doi:10.2307/1913643), Machado and Santos Silva (2005, Journal of the American Statistical Association, 100, 1226-1237, doi:10.1198/016214505000000330), Yu and Moyeed (2001, Statistics and Probability Letters, 54, 437-447, doi:10.1016/S0167-7152(01)00124-9), Polson, Scott, and Windle (2014, Journal of the Royal Statistical Society Series B, 76, 713-733, doi:10.1111/rssb.12042), Park and Casella (2008, Journal of the American Statistical Association, 103, 681-686, doi:10.1198/016214508000000337), and Roberts and Rosenthal (2009, Journal of Computational and Graphical Statistics, 18, 349-367, doi:10.1198/jcgs.2009.06134).

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OKNow
  • OK6 OK2026-08-06
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
17
Examples that run
76%13 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

573
CRAN downloads in the past year
Rank #22,867 · ~2/day · ~48/mo
Daily download trend is not available in this view yet.
18230 days
57390 days
5731 year
Compare downloads with other packages →
Also on18 r2u10 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing BayesQRCount adds no packages beyond those that come with R.

Depends (1)
R >= 4.0.0
Imports (3)
statsgraphicsgrDevices
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-08-05 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-05
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
7.8 KB / 1 file
Download size
27 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesQRCount")
Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). BayesQRCount: Adaptive Bayesian Quantile Regression for Count Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesQRCount

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesQRCount version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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