Package: BDPTobitQR
Title: Bayesian Double-Penalty Tobit Quantile Regression for
        Longitudinal Interval-Censored 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")
  )
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>
Description: Implements Bayesian Double-Penalty Tobit Quantile
        Regression methods for longitudinal interval-censored data as
        proposed by Zhao et al. (2024) <doi:10.3390/math12121782>.
        Supports Bayesian Tobit quantile regression with double
        adaptive Lasso penalty ('PDAL-BTQR'), double Lasso penalty
        ('PDL-BTQR'), and unpenalized mixed-effects ('P-BTQR'). Handles
        left, right, interval, and bilateral censoring schemes in
        longitudinal and clustered structures. Includes Gibbs sampling
        algorithms, parameter estimation, standard error computation,
        posterior credible intervals, forecast predictions, DIC, LPML,
        and diagnostic plotting. References: Tobin (1958)
        <doi:10.2307/1907382>; Koenker and Bassett (1978)
        <doi:10.2307/1913643>; Zou (2006)
        <doi:10.1198/016214506000000735>; Alhamzawi and Yu (2012)
        <doi:10.1016/j.csda.2011.11.018>; Zhao et al. (2024)
        <doi:10.3390/math12121782>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2026-10-06 10:17:27 UTC; root
Repository: https://shikhartyagi.r-universe.dev
Date/Publication: 2026-08-06 07:00:08 UTC
RemoteUrl: https://github.com/cran/BDPTobitQR
RemoteRef: HEAD
RemoteSha: b73dd8594277ae971542e1799e2336f5f87e993b