{ "_id": "6ac64e42f511ae58c09a9d36", "Package": "ImpAdaptType2Censor", "Type": "Package", "Title": "Data Generation and Statistical Inference for Improved Adaptive\nType-II Progressive 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 routines for random data\ngeneration, Maximum Likelihood Estimation (MLE), Maximum\nProduct of Spacings Estimation (MPSE), and MCMC Bayesian\nestimation under the Improved Adaptive Type-II Progressive\nCensoring Scheme (IAT-II PCS). Users can supply custom\nprobability density functions (PDF), cumulative distribution\nfunctions (CDF), survival functions, parameter ranges, and\nprogressive censoring plans for any continuous univariate\nlifetime distribution, or rely on built-in parametric models\n(e.g., Generalized Exponential). Point estimation methods\ninclude MLE via optimization algorithms\n(Broyden-Fletcher-Goldfarb-Shanno (BFGS), Newton-Raphson (NR),\nNelder-Mead (NM), Conjugate Gradients (CG), L-BFGS-B, Simulated\nAnnealing (SANN), and Berndt-Hall-Hall-Hausman (BHHH)) and\nMPSE. Bayesian inference utilizes Metropolis-Hastings within\nGibbs sampling under Squared Error Loss (SEL) and LINEX Loss\n(LL) functions to compute point estimates and Highest Posterior\nDensity (HPD) credible intervals. Asymptotic confidence\nintervals for parameters, reliability, and hazard rate\nfunctions are constructed using asymptotic normality and delta\nmethod. Methods are based on Dev and Chacko (2026, Journal of\nthe Iranian Statistical Society, 25, 1-29), Yan, Zhang, and\nDong (2021, Journal of Computational and Applied Mathematics,\n381, 113022, ), Ng, Kundu, and\nChan (2004, Naval Research Logistics, 51, 1145-1168,\n), Cheng and Amin (1983, Journal of the\nRoyal Statistical Society Series B, 45, 394-403,\n), Kundu and Gupta\n(1999, Australian & New Zealand Journal of Statistics, 41,\n173-188, ), and Berndt, Hall,\nHall, and Hausman (1974, Annals of Economic and Social\nMeasurement, 3, 653-665).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "RoxygenNote": "7.3.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-07 11:20:24 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": "2026-08-07 15:30:02 UTC", "RemoteUrl": "https://github.com/cran/ImpAdaptType2Censor", "RemoteRef": "HEAD", "RemoteSha": "fbccdc2f6278c360b53ff76f0b4c5be541d61275", "_user": "shikhartyagi", "_type": "src", "_file": "ImpAdaptType2Censor_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/32d238a975a0085d0141add2c3d4bdb62bebc1ea376a672814fd06b3675b395f", "_filesize": 121004, "_sha256": "32d238a975a0085d0141add2c3d4bdb62bebc1ea376a672814fd06b3675b395f", "_expires": "2027-01-15T13:50:56.000Z", "_created": "2026-10-07T11:20:24.000Z", "_published": "2026-10-07T13:50:58.165Z", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/37613076569", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 112765979166, "time": 105, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11479396134" }, { "job": 112765979071, "time": 119, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11479526267" }, { "job": 112765978951, "time": 80, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11486431602" }, { "job": 112765978988, "time": 77, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11487390356" }, { "job": 112765132017, "time": 131, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11479590734" }, { "job": 112765978980, "time": 66, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11478646341" }, { "job": 112765979159, "time": 60, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11479620837" }, { "job": 112765978942, "time": 64, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11479286147" }, { "job": 112765979015, "time": 60, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11478556417" } ], "_upstream": "https://github.com/cran/ImpAdaptType2Censor", "_commit": { "id": "fbccdc2f6278c360b53ff76f0b4c5be541d61275", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1786116602 }, "_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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