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SemiPar.depCens

0.1.3Package record

Copula Based Cox Proportional Hazards Models for Dependent Censoring

0packages depend
2.3Kdownloads / year
52.1%test coverage
13/13flavors OK

Overview

About

Copula based Cox proportional hazards models for survival data subject to dependent censoring. This approach does not assume that the parameter defining the copula is known. The dependency parameter is estimated with other finite model parameters by maximizing a Pseudo likelihood function. The cumulative hazard function is estimated via estimating equations derived based on martingale ideas. Available copula functions include Frank, Gumbel and Normal copulas. Only Weibull and lognormal models are allowed for the censoring model, even though any parametric model that satisfies certain identifiability conditions could be used. Implemented methods are described in the article "Copula based Cox proportional hazards models for dependent censoring" by Deresa and Van Keilegom (2024) doi:10.1080/01621459.2022.2161387.

Changes in 0.1.3
  • Add the number of cores as argument and increase the default number of bootstrap samples

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 338 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
0%4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
13%

Downloads

2.3K
CRAN downloads in the past year
Rank #22,441 · ~6/day · ~194/mo
Daily download trend is not available in this view yet.
21930 days
59390 days
2.3K1 year
Compare downloads with other packages →
Also on70 r2u6 autocran

Repository

3Stars
0Forks
2Open issues
0Open PRs
1Releases
20Commits
1Commit identities
20 commits · Last activity 2024-08-26
Responsiveness
not measured

Stars over time

2024-12-18 · 32026-07-07 · 3
PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/nago2020/semipar.depcens on 2026-10-21.

Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing SemiPar.depCens adds 13 packages (7 with compiled code, 7.5 MB of source tarballs). Heaviest: copula 3.5 MB, colorspace 2.0 MB, mvtnorm 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (7)
survivalcopulastatsforeachparalleldoParallelpbivnorm
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.1 (2024)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.3Latest
    record
    2024-08-27 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.2
    record
    2024-03-29 · diff ↗
  • 0.1.1
    record
    2024-02-29
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-02-29
Total releases
3 / 2 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
6.4 KB / 1 file
Download size
25 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SemiPar.depCens")
Deresa, N. W., & Van Keilegom, I. (2024). SemiPar.depCens: Copula Based Cox Proportional Hazards Models for Dependent Censoring (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.SemiPar.depCens

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 SemiPar.depCens version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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