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predHCS

0.1.0

Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes

0packages depend
60downloads / year
59.0%test coverage
11/11checks pass

Overview

About
Maintained by Shikhar TyagiFirst published 2026-08-051 releasesCRAN page ↗

Implements generalized statistical point prediction and prediction intervals for future failure times under various hybrid censoring schemes. Supported censoring schemes include Type-I, Type-II, Generalized Type-I, Generalized Type-II, Unified, Progressive Type-I, and Progressive Type-II hybrid censoring schemes. Available prediction methods include Best Unbiased Predictor (BUP), Conditional Median Predictor (CMP), Maximum Likelihood Predictor (MLP), equal-tailed classical prediction intervals, Highest Conditional Density (HCD) prediction intervals, and Bayesian prediction intervals. Algorithms accept user-defined continuous probability density functions, cumulative distribution functions, quantile functions, or survival functions along with estimated parameter values. Methodological foundations are based on Balakrishnan, Cramer, and Kundu (2023, ISBN:978-0123983879), Shafay and Balakrishnan (2012) doi:10.1080/03610918.2011.579367 for Type-I hybrid censoring, Balakrishnan and Shafay (2012) doi:10.1080/03610926.2010.543300 for Type-II hybrid censoring, Shafay (2017) doi:10.1080/03610926.2016.1200093 for Generalized Type-I hybrid censoring, Shafay (2016) doi:10.1080/00949655.2015.1096361 for Generalized Type-II hybrid censoring, Mohie El-Din, Nagy, and Shafay (2017) doi:10.18576/jsap/060113 for Unified hybrid censoring, Ebrahimi (1992) doi:10.1109/24.126685, Valiollahi, Asgharzadeh, and Kundu (2017) doi:10.1214/15-BJPS302, and Asgharzadeh, Valiollahi, and Kundu (2015) doi:10.1080/00949655.2013.848451.

Install

Health

CRAN checks
11OK
Slowest check: 1.1 min · r-release-windows-x86_64
Code health
Yes
Tests · ratio 0.05
59.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-06
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
25%

Downloads

60
CRAN downloads in the past year
Rank #24,783 · ~0/day · ~5/mo
predHCS
Daily download trend is not available in this view yet.

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (2)
statsgraphics
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-08-05 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-08-05
Total releases
1 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
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("predHCS")
Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). predHCS: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.predHCS

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 predHCS 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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