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predHCS
Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes
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Download and install predHCS package within the R console
Install from CRAN:
install.packages("predHCS")
Install from Github:
library("remotes")
install_github("cran/predHCS") Install by package version:
library("remotes")
install_version("predHCS", "0.1.0") Attach the package and use:
library("predHCS")
Maintained by
Shikhar Tyagi
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[Scholar Profile | Author Map]
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First Published: 2026-08-05
Latest Update: 2026-08-05
Description:
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>.
How to cite:
Shikhar Tyagi (2026). predHCS: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes. R package version 0.1.0, https://cran.r-project.org/web/packages/predHCS. Accessed 24 Oct. 2026.
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