Package: predHCS Type: Package Title: Point and Interval Prediction for Censored Data under Various Hybrid Censoring Schemes Version: 0.1.0 Authors@R: c( person("Shikhar", "Tyagi", email = "shikhar1093tyagi@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1606-0844")), person("Arvind", "Pandey", email = "arvindmzu@gmail.com", role = "aut"), person("Bhupendra", "Singh", email = "bhupendra.rana@gmail.com", role = "aut"), person("Vrijesh", "Tripathi", email = "vrijesh.tripathi@uwi.edu", role = "aut") ) Maintainer: Shikhar Tyagi 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) for Type-I hybrid censoring, Balakrishnan and Shafay (2012) for Type-II hybrid censoring, Shafay (2017) for Generalized Type-I hybrid censoring, Shafay (2016) for Generalized Type-II hybrid censoring, Mohie El-Din, Nagy, and Shafay (2017) for Unified hybrid censoring, Ebrahimi (1992) , Valiollahi, Asgharzadeh, and Kundu (2017) , and Asgharzadeh, Valiollahi, and Kundu (2015) . License: GPL-3 Encoding: UTF-8 Depends: R (>= 4.0.0) Imports: stats, graphics Suggests: testthat (>= 3.0.0) ByteCompile: true NeedsCompilation: no Packaged: 2026-10-05 10:54:50 UTC; root Author: Shikhar Tyagi [aut, cre] (ORCID: ), Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut] Repository: https://shikhartyagi.r-universe.dev Date/Publication: 2026-08-05 10:58:01 UTC RemoteUrl: https://github.com/cran/predHCS RemoteRef: HEAD RemoteSha: 41dcbcfa04a918f72f0f302a44322e8c941fc513