{ "_id": "6ab8e46899f7aa8c6aa3823f", "Package": "UniCensorEM", "Type": "Package", "Title": "EM Algorithm for Parameter Estimation Under Censoring Schemes", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Shikhar\", \"Tyagi\",\nemail = \"shikhar1093tyagi@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1606-0844\")),\nperson(\"Arvind\", \"Pandey\",\nemail = \"arvindmzu@gmail.com\",\nrole = \"aut\"),\nperson(\"Bhupendra\", \"Singh\",\nemail = \"bhupendra.rana@gmail.com\",\nrole = \"aut\"),\nperson(\"Vrijesh\", \"Tripathi\",\nemail = \"vrijesh.tripathi@uwi.edu\",\nrole = \"aut\"))", "Description": "Performs parameter estimation using the\nExpectation-Maximization (EM) algorithm of Dempster, Laird, and\nRubin (1977) for\narbitrary univariate probability distributions under numerous\ncensoring and truncation schemes. Users supply the probability\ndensity function (PDF), cumulative distribution function (CDF),\nsurvival function, initial parameter vector, support bounds,\nand observed data; the package automatically estimates\nparameters using the EM algorithm under the specified censoring\nscheme. Supported schemes include complete data, right\ncensoring, left censoring, interval censoring, random\ncensoring, block random censoring, Type-I censoring, Type-II\ncensoring, progressive Type-II censoring (Balakrishnan and\nAggarwala (2000, ISBN:978-1-4612-1334-5)), progressive first\nfailure censoring, joint Type-I censoring, joint Type-II\ncensoring, balanced joint progressive Type-II censoring, hybrid\ncensoring, hybrid Type-I censoring, hybrid Type-II censoring,\nType-I hybrid censoring, Type-II progressively hybrid\ncensoring, doubly Type-II censoring, middle censoring, right\ntruncation, and left truncation. Standard errors are computed\nvia the observed information matrix (numerical Hessian), the\nLouis (1982) method,\nand the supplemented EM (SEM) algorithm of Meng and Rubin\n(1991) . The package also\nprovides confidence intervals, model selection criteria (AIC,\nBIC, AICc, HQIC), goodness-of-fit statistics\n(Kolmogorov-Smirnov, Cramer-von Mises, Anderson-Darling),\nresidual analysis (randomized quantile residuals, generalized\nresiduals), parametric bootstrap methods, Aitken acceleration\nfor convergence improvement, and comprehensive visualization\ntools. References: Wu and Kus (2009)\n, Kundu and Joarder (2006)\n, Iyer, Jammalamadaka, and\nKundu (2008) , Banerjee and\nKundu (2008) , Prajapati, Mitra,\nand Kundu (2019) , Mondal and\nKundu (2020) , Ding and Gui\n(2023) .", "License": "GPL-3", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-27 09:36:41 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": "2026-07-28 16:50:16 UTC", "RemoteUrl": "https://github.com/cran/UniCensorEM", "RemoteRef": "HEAD", "RemoteSha": "f3b483a5a9e02ab32ea97f687f2309867fe0b2fb", "_user": "shikhartyagi", "_type": "src", "_file": "UniCensorEM_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/1f41fa811483dc776d8e7267086aa5d43b5ac31f9f3dc25361803c235ebcd967", "_filesize": 467817, "_sha256": "1f41fa811483dc776d8e7267086aa5d43b5ac31f9f3dc25361803c235ebcd967", "_expires": "2027-01-05T09:39:50.000Z", "_created": "2026-09-27T09:36:41.000Z", "_published": "2026-09-27T09:39:52.143Z", "_jobs": [ { "job": 108593798285, "time": 148, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "10928825864" }, { "job": 108593798289, "time": 123, "config": "linux-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "10929235601" }, { "job": 108593798305, "time": 98, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "10928596920" }, { "job": 108593798328, "time": 123, "config": "macos-release-arm64", "r": "4.6.1", "check": "NOTE", "artifact": "10928961117" }, { "job": 108593189971, "time": 249, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "10928861137" }, { "job": 108593798348, "time": 130, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "10929070506" }, { "job": 108593798394, "time": 87, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "10928392828" }, { "job": 108593798332, "time": 84, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "NOTE", "artifact": "10929180198" }, { "job": 108593798416, "time": 73, "config": "windows-release-x86_64", "r": "4.6.1", "check": "NOTE", "artifact": "10928861240" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/shikhartyagi/actions/runs/36309699009", "_status": "success", "_upstream": "https://github.com/cran/UniCensorEM", "_commit": { "id": "f3b483a5a9e02ab32ea97f687f2309867fe0b2fb", "author": "Shikhar Tyagi ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1785257416 }, "_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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