R Observatory: Metrics for BDPTobitQR version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BDPTobitQR

0.1.0

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

0packages depend

56downloads / year

89.3%test coverage

11/11checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-061 releasesCRAN page ↗

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

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("BDPTobitQR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BDPTobitQR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BDPTobitQR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

11OK

Slowest check: 1.8 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.11

89.3%

Coverage · measured lines

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-06
1 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 67%
Documented parameters: 82%
Return-value docs: 100%
References docs: 100%

Downloads

56

CRAN downloads in the past year

Rank #24,796 · ~0/day · ~5/mo

BDPTobitQR Releases R versions

Daily download trend is not available in this view yet.

5630 days

5690 days

561 year

Compare downloads with other packages →

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (3)

statsgraphicsgrDevices

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Shikhar Tyagi

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-06 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 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: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BDPTobitQR")

Format

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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BDPTobitQR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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