{ "_id": "6a1f1d73b401979e7341fba3", "Package": "MLEce", "Type": "Package", "Title": "Asymptotic Efficient Closed-Form Estimators for Multivariate\nDistributions", "Version": "2.1.0", "Authors@R": "c(person(\"Jun\", \"Zhao\", role = c(\"aut\", \"cre\", \"com\"), email = \"zhaojun2021@hotmail.com\"),\nperson(\"Yu-Kwang\", \"Kim\", role = c(\"aut\"), email = \"prismyoo1231@naver.com\"),\nperson(\"Yu-Hyeong\", \"Jang\", role = c(\"aut\"), email = \"jyhmaru@naver.com\"),\nperson(\"Jae Ho\", \"Chang\", role = c(\"aut\"), email = \"chang.2090@buckeyemail.osu.eduwk\"),\nperson(\"Sang Kyu\", \"Lee\", role = c(\"aut\"), email= \"lsk0819@gmail.com\"),\nperson(\"Hyoung-Moon\", \"Kim\", role = c(\"aut\", \"ths\"), email = \"hmkim@konkuk.ac.kr\"))", "Description": "Asymptotic efficient closed-form estimators (MLEces) are\nprovided in this package for three multivariate\ndistributions(gamma, Weibull and Dirichlet) whose maximum\nlikelihood estimators (MLEs) are not in closed forms.\nClosed-form estimators are strong consistent, and have the\nsimilar asymptotic normal distribution like MLEs. But the\ncalculation of MLEces are much faster than the corresponding\nMLEs. Further details and explanations of MLEces can be found\nin. Jang, et al. (2023) . Kim, et al.\n(2023) .", "License": "GPL-2", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-16 08:37:31 UTC", "User": "root" }, "Author": "Jun Zhao [aut, cre, com], Yu-Kwang Kim [aut], Yu-Hyeong Jang\n[aut], Jae Ho Chang [aut], Sang Kyu Lee [aut], Hyoung-Moon Kim\n[aut, ths]", "Maintainer": "Jun Zhao ", "Repository": "https://ijun2018.r-universe.dev", "Date/Publication": "2023-11-07 06:48:02 UTC", "RemoteUrl": "https://github.com/ijun2018/mlece", "RemoteRef": "HEAD", "RemoteSha": "d20a9ef7d8796637b0fc44676a859b0477a97a5d", "MD5sum": "b0491821bc1134986616d3167d00ce81", "_user": "ijun2018", "_type": "src", "_file": "MLEce_2.1.0.tar.gz", "_fileid": "e409f132e700cbc14133159c27f5471cc489d37a12b4d081839034aba0374934", "_filesize": 146503, "_sha256": "e409f132e700cbc14133159c27f5471cc489d37a12b4d081839034aba0374934", "_created": "2026-05-16T08:37:31.000Z", "_published": "2026-06-02T18:14:11.403Z", "_distro": "noble", 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