R Observatory: Metrics for SemiParamBernsteinDepCS version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SemiParamBernsteinDepCS

0.1.0

Semiparametric Bayesian Regression for Dependent Current Status Data

0packages depend

41downloads / year

85.8%test coverage

9/9checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-071 releasesCRAN page ↗

Implements a semiparametric Bayesian regression framework using Bernstein polynomial baseline models for analyzing dependent current status data. The package accommodates proportional hazards (PH) and proportional odds (PO) regression models with Archimedean copulas ('Gumbel', 'Frank', and 'Clayton') to model the joint dependence structure between event and observation or censoring times. Estimation is performed using a Robust Adaptive Metropolis (RAM) Markov Chain Monte Carlo ('MCMC') algorithm. Model comparison metrics including Deviance Information Criterion ('DIC') and posterior summaries with Highest Posterior Density ('HPD') intervals and Kendall's tau are provided. Methodological details are described in Sharma and Balakrishnan (2026) doi:10.1080/02664763.2026.2701921.

Install

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

install.packages("SemiParamBernsteinDepCS", 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-SemiParamBernsteinDepCS

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-SemiParamBernsteinDepCS

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

Health

CRAN checks

9OK

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.09

85.8%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-08
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 50%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

41

CRAN downloads in the past year

Rank #24,856 · ~0/day · ~3/mo

SemiParamBernsteinDepCS Releases R versions

Daily download trend is not available in this view yet.

4130 days

4190 days

411 year

Compare downloads with other packages →

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (2)

statsgraphics

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

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
2026-08-07 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-07
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.0.0
Bundled data: 1.2 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("SemiParamBernsteinDepCS")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). SemiParamBernsteinDepCS: Semiparametric Bayesian Regression for Dependent Current Status Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SemiParamBernsteinDepCS

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 SemiParamBernsteinDepCS 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.

Report a problem with this page →