{ "_id": "6ac22051773a0037682c2649", "Package": "AdaptHyCensor", "Type": "Package", "Title": "Generalized Inference and Data Generation for Adaptive\nProgressive Hybrid 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\"))", "Description": "Comprehensive computational tools for data generation,\nstatistical inference, and visual diagnostics under Adaptive\nType-I and Adaptive Type-II Progressive Hybrid Censoring\nSchemes. Users can supply custom probability density functions\n(PDF), cumulative distribution functions (CDF), survival\nfunctions, parameter ranges, and progressive schemes for any\nunivariate lifetime distribution. Parameter estimation methods\ninclude Maximum Likelihood Estimation (MLE) using multiple\noptimization algorithms (Newton-Raphson (NR),\nBroyden-Fletcher-Goldfarb-Shanno (BFGS), BFGS in R (BFGSR),\nBerndt-Hall-Hall-Hausman (BHHH), Simulated Annealing (SANN),\nConjugate Gradients (CG), and Nelder-Mead (NM)), Bayesian\nestimation via Gibbs and Metropolis-Hastings (M-H) MCMC\nsampling, Importance Sampling (IS), and Lindley's\napproximation. Diagnostic tools provide histograms, dot plots,\nand autocorrelation function (ACF) plots for model validation.\nMethods are based on Balakrishnan, Cramer, and Kundu (2023,\nISBN:978-0-12-398387-9), Ng, Kundu, and Chan (2009, IEEE\nTransactions on Reliability, 58, 634-642), Lin and Huang (2012,\nJournal of Statistical Computation and Simulation, 82,\n1005-1018), Lindley (1980, Journal of the Royal Statistical\nSociety, Series B, 42, 223-237), and Berndt, Hall, Hall, and\nHausman (1974, Annals of Economic and Social Measurement, 3,\n653-665).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-04 09:43:23 UTC", "User": "root" }, "Author": "Shikhar Tyagi [aut, cre] (ORCID:\n), Arvind Pandey [aut],\nBhupendra Singh [aut], Vrijesh Tripathi [aut]", "Maintainer": "Shikhar Tyagi ", "Repository": "https://shikhartyagi.r-universe.dev", "Date/Publication": "2026-08-04 14:10:45 UTC", "RemoteUrl": "https://github.com/cran/AdaptHyCensor", "RemoteRef": "HEAD", "RemoteSha": "07c25fde90d24bbddd15f04e4c37412f248dfe82", "_user": "shikhartyagi", "_type": "src", "_file": "AdaptHyCensor_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/990ff1b0c96dea0c32ae6e3e48e549ff4479a6d73b16ce0dd5103724fd305237", "_filesize": 137955, "_sha256": "990ff1b0c96dea0c32ae6e3e48e549ff4479a6d73b16ce0dd5103724fd305237", "_expires": "2027-01-12T09:45:52.000Z", "_created": "2026-10-04T09:43:23.000Z", "_published": "2026-10-04T09:45:53.738Z", "_jobs": [ { "job": 111409187279, "time": 97, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11299388599" }, { "job": 111409187284, "time": 100, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11299313718" }, { "job": 111409187251, "time": 106, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11300161028" }, { "job": 111409187263, "time": 77, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11299483332" }, { "job": 111408712772, "time": 179, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11300240609" }, { "job": 111409187265, "time": 81, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11299706446" }, { "job": 111409187272, "time": 63, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11298619691" }, { "job": 111409187252, "time": 67, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11300046219" }, { "job": 111409187239, "time": 64, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11300140842" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37192903961", "_status": "success", "_upstream": "https://github.com/cran/AdaptHyCensor", "_commit": { "id": "07c25fde90d24bbddd15f04e4c37412f248dfe82", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1785852645 }, "_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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