{ "_id": "6a0f7134acfb0bcc41c5f6dd", "Package": "BElikelihood", "Type": "Package", "Title": "Likelihood Method for Evaluating Bioequivalence", "Version": "1.1", "Date": "2024-02-29", "Maintainer": "Liping Du ", "Authors@R": "c(person(\"Liping\", \"Du\", role = c(\"aut\", \"cre\"),\nemail = \"liping.du@vumc.org\",\ncomment=c(ORCID = \"0000-0003-4926-2135\")),\nperson(\"Leena\", \"Choi\", role = \"aut\",\nemail = \"naturechoi@gmail.com\",\ncomment = c(ORCID = \"0000-0002-2544-7090\")),\nperson(\"Cole\", \"Beck\", role = \"aut\",\nemail = \"cole.beck@vumc.org\",\ncomment = c(ORCID = \"0000-0002-6849-6255\")))", "Description": "A likelihood method is implemented to present evidence for\nevaluating bioequivalence (BE). The functions use\nbioequivalence data [area under the blood concentration-time\ncurve (AUC) and peak concentration (Cmax)] from various\ncrossover designs commonly used in BE studies including a fully\nreplicated, a partially replicated design, and a conventional\n2x2 crossover design. They will calculate the profile\nlikelihoods for the mean difference, total standard deviation\nratio, and within subject standard deviation ratio for a test\nand a reference drug. A plot of a standardized profile\nlikelihood can be generated along with the maximum likelihood\nestimate and likelihood intervals, which present evidence for\nbioequivalence. See Liping Du and Leena Choi (2015)\n.", "License": "GPL (>= 3)", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 07:18:56 UTC", "User": "root" }, "Author": "Liping Du [aut, cre] (),\nLeena Choi [aut] (),\nCole Beck [aut] ()", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2024-03-06 02:29:02 UTC", "RemoteUrl": "https://github.com/cran/BElikelihood", "RemoteRef": "HEAD", "RemoteSha": "83134c519ed331d1330befb2fd6e83f75c0e5ec3", "MD5sum": "cb450fb6c7f5ed0c78bb87d712b20f11", "_user": "cran", "_type": "src", "_file": "BElikelihood_1.1.tar.gz", "_fileid": "4c7389c97df66de9de720f9f6220493ce0cd4f8b927f6996cc1f017420a61ebd", "_filesize": 659790, "_sha256": "4c7389c97df66de9de720f9f6220493ce0cd4f8b927f6996cc1f017420a61ebd", "_created": "2026-05-21T07:18:56.000Z", "_published": "2026-05-21T20:55:16.563Z", "_distro": "noble", "_jobs": [ { "job": 77266861991, "time": 133, "config": "linux-devel-x86_64", "r": 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bioequivalence (BE) study", "object": "dat", "file": "dat.rda", "class": [ "data.frame" ], "fields": [ "subject", "sequence", "period", "formula", "AUC", "CMAX" ], "rows": 176, "table": true, "tojson": true } ], "_help": [ { "page": "BElikelihood-package", "title": "Likelihood method for analyzing bioequivalence (BE) trial data", "topics": [ "BElikelihood-package", "BElikelihood" ] }, { "page": "dat", "title": "Data example for bioequivalence (BE) study", "topics": [ "dat" ] }, { "page": "plot.proLikelihood", "title": "Plot method for proLikelihood object", "topics": [ "plot.proLikelihood" ] }, { "page": "print.proLikelihood", "title": "Print method for proLikelihood object", "topics": [ "print.proLikelihood" ] }, { "page": "proLikelihood", "title": "Calculate profile likelihood for bioequivalence data", "topics": [ "averageBE", "proLikelihood", "totalVarianceBE", "withinVarianceBE" ] } ], "_rundeps": [ "cli", "cpp11", "farver", "ggplot2", "glue", "gtable", "isoband", "labeling", 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