{ "_id": "6ac3828fafd9914e452d3a29", "Package": "predHCS", "Type": "Package", "Title": "Point and Interval Prediction for Censored Data under Various\nHybrid Censoring Schemes", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\", email = \"shikhar1093tyagi@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Arvind\", \"Pandey\", email = \"arvindmzu@gmail.com\", role = \"aut\"),\nperson(\"Bhupendra\", \"Singh\", email = \"bhupendra.rana@gmail.com\", role = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\", email = \"vrijesh.tripathi@uwi.edu\", role = \"aut\")\n)", "Maintainer": "Shikhar Tyagi ", "Description": "Implements generalized statistical point prediction and\nprediction intervals for future failure times under various\nhybrid censoring schemes. Supported censoring schemes include\nType-I, Type-II, Generalized Type-I, Generalized Type-II,\nUnified, Progressive Type-I, and Progressive Type-II hybrid\ncensoring schemes. Available prediction methods include Best\nUnbiased Predictor (BUP), Conditional Median Predictor (CMP),\nMaximum Likelihood Predictor (MLP), equal-tailed classical\nprediction intervals, Highest Conditional Density (HCD)\nprediction intervals, and Bayesian prediction intervals.\nAlgorithms accept user-defined continuous probability density\nfunctions, cumulative distribution functions, quantile\nfunctions, or survival functions along with estimated parameter\nvalues. Methodological foundations are based on Balakrishnan,\nCramer, and Kundu (2023, ISBN:978-0123983879), Shafay and\nBalakrishnan (2012) for\nType-I hybrid censoring, Balakrishnan and Shafay (2012)\n for Type-II hybrid\ncensoring, Shafay (2017) \nfor Generalized Type-I hybrid censoring, Shafay (2016)\n for Generalized Type-II\nhybrid censoring, Mohie El-Din, Nagy, and Shafay (2017)\n for Unified hybrid censoring,\nEbrahimi (1992) , Valiollahi,\nAsgharzadeh, and Kundu (2017) , and\nAsgharzadeh, Valiollahi, and Kundu (2015)\n.", "License": "GPL-3", "Encoding": "UTF-8", "ByteCompile": "true", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-05 10:54:50 UTC", "User": "root" }, "Author": "Shikhar Tyagi [aut, cre] (ORCID:\n), Arvind Pandey [aut],\nBhupendra 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", "_user": "shikhartyagi", "_type": "src", "_file": "predHCS_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/d3aea3ea0a6652c3cbb829786b309a27473bcb762ec2327d767f9d34411bc5ff", "_filesize": 116593, "_sha256": "d3aea3ea0a6652c3cbb829786b309a27473bcb762ec2327d767f9d34411bc5ff", "_expires": "2027-01-13T10:57:17.000Z", "_created": "2026-10-05T10:54:50.000Z", "_published": "2026-10-05T10:57:19.273Z", "_jobs": [ { "job": 111728931540, "time": 112, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11341840401" }, { "job": 111728931486, "time": 87, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11341490569" }, { "job": 111728931589, "time": 87, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11341175655" }, { "job": 111728931495, "time": 80, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11341405565" }, { "job": 111728222116, "time": 124, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11341480302" }, { "job": 111728931452, "time": 86, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11341945194" }, { "job": 111728931334, "time": 56, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11341995098" }, { "job": 111728931389, "time": 50, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11341925100" }, { "job": 111728931518, "time": 60, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11341835237" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37299347825", "_status": "success", "_upstream": "https://github.com/cran/predHCS", "_commit": { "id": "41dcbcfa04a918f72f0f302a44322e8c941fc513", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1785927481 }, "_maintainer": { "name": "Shikhar Tyagi", "email": "shikhar1093tyagi@gmail.com", "login": "shikhartyagi", "description": "Lecturer, Department of Mathematics and Statistics, The University of the West Indies, Trinidad and Tobago. 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