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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "BDPTobitQR" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'BDPTobitQR: Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal
  Interval-Censored Data'
version: 0.1.0
doi: 10.32614/CRAN.package.BDPTobitQR
abstract: 'Implements Bayesian Double-Penalty Tobit Quantile Regression methods for
  longitudinal interval-censored data as proposed by Zhao et al. (2024) <https://doi.org/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) <https://doi.org/10.2307/1907382>;
  Koenker and Bassett (1978) <https://doi.org/10.2307/1913643>; Zou (2006) <https://doi.org/10.1198/016214506000000735>;
  Alhamzawi and Yu (2012) <https://doi.org/10.1016/j.csda.2011.11.018>; Zhao et al.
  (2024) <https://doi.org/10.3390/math12121782>.'
authors:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844
- family-names: Pandey
  given-names: Arvind
  email: arvindmzu@gmail.com
- family-names: Singh
  given-names: Bhupendra
  email: bhupendra.rana@gmail.com
- family-names: Tripathi
  given-names: Vrijesh
  email: vrijesh.tripathi@uwi.edu
repository: https://shikhartyagi.r-universe.dev
commit: b73dd8594277ae971542e1799e2336f5f87e993b
date-released: '2026-08-06'
contact:
- family-names: Tyagi
  given-names: Shikhar
  email: shikhar1093tyagi@gmail.com
  orcid: https://orcid.org/0000-0003-1606-0844