Package: BayesQRCount
Type: Package
Title: Adaptive Bayesian Quantile Regression for Count Data
Version: 0.1.0
Authors@R: c(
    person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")),
    person("Arvind", "Pandey", email = "arvindmzu@gmail.com", role = "aut"),
    person("Bhupendra", "Singh", email = "bhupendra.rana@gmail.com", role = "aut"),
    person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut"))
Description: 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>).
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-05 10:49:44 UTC; root
Author: Shikhar Tyagi [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-1606-0844>), Arvind Pandey [aut],
        Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: https://shikhartyagi.r-universe.dev
Date/Publication: 2026-08-05 10:55:47 UTC
RemoteUrl: https://github.com/cran/BayesQRCount
RemoteRef: HEAD
RemoteSha: 1407c67fbb05e46b3be8cfbca005c8809b1a4881