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DropCens

0.1.0

Distributionally Robust Progressive Type-II Censoring Inference

0packages depend
23downloads / year
test coverage
8/8checks pass

Overview

About
Maintained by Okechukwu J. ObuleziFirst published 2026-08-091 releasesCRAN page ↗

Implements distributionally robust optimization algorithms for progressive Type-II censored Weibull lifetime data under Wasserstein ambiguity balls. Provides primal-dual convex optimization solvers and robust inference bounds.

Install

Health

CRAN checks
8OK
Slowest check: 44 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
0
Dependencies · direct
Check history
  • OK2026-08-10
    8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

23
CRAN downloads in the past year
Rank #24,901 · ~0/day · ~2/mo
DropCens
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-08-09 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-09
Total releases
1 / 1 yrs
License
GPL-3 OSI
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("DropCens")
Obulezi, O. J. (2026). DropCens: Distributionally Robust Progressive Type-II Censoring Inference (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.DropCens

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DropCens 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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