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BDPTobitQR

0.1.0Package record

Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data

0packages depend
524downloads / year
89.3%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.8 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OKNow
  • OK1 OK2026-08-06
Advisories

none known

Documentation

In release 0.1.0
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4includes a package overview page
Examples that run
67%2 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
82%
Return-value docs
100%
Help pages citing references
100%

Downloads

524
CRAN downloads in the past year
Rank #23,699 · ~1/day · ~44/mo
Daily download trend is not available in this view yet.
23330 days
52490 days
5241 year
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Also on24 r2u23 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

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

Depends (1)
R >= 4.0.0
Imports (3)
statsgraphicsgrDevices
LinkingTo (0)
none
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
    first seen 2026-08-06 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First seen
2026-08-06
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 4.0.0
Bundled data
7.7 KB / 1 file
Download size
25 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BDPTobitQR")
Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). BDPTobitQR: Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BDPTobitQR

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 BDPTobitQR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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