{ "_id": "6a21579ccd65a98ecbd2e6bc", "Package": "eadrm", "Title": "Fitting Dose-Response Models Using an Evolutionary Algorithm", "Version": "0.1.4", "Authors@R": "c(person(given = \"Eric\",\nfamily = \"Bair\",\nrole = c(\"aut\", \"cre\"),\nemail = \"eric.bair@sciome.com\"),\nperson(given = \"Jun\",\nfamily = \"Ma\",\nrole = \"aut\"))", "Description": "Fits dose-response models using an evolutionary algorithm\nto estimate the model parameters. The procedure currently can\nfit 3-parameter, 4-parameter, and 5-parameter log-logistic\nmodels as well as exponential models. Functions are also\nprovided to plot, make predictions, and calculate confidence\nintervals for the resulting models. For details see \"Nonlinear\nDose-response Modeling of High-Throughput Screening Data Using\nan Evolutionary Algorithm\", Ma, J., Bair, E., Motsinger-Reif,\nA.; Dose-Response 18(2):1559325820926734 (2020)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 10:44:32 UTC", "User": "root" }, "Author": "Eric Bair [aut, cre], Jun Ma [aut]", "Maintainer": "Eric Bair ", "Repository": "https://ericbair-sciome.r-universe.dev", "Date/Publication": "2022-05-29 04:40:06 UTC", "RemoteUrl": "https://github.com/cran/eadrm", "RemoteRef": "HEAD", "RemoteSha": "88645157fc36cab9d680e970df03b55b76202eb7", "MD5sum": "83a0953e898da70c7eb15edd3b46f441", "_user": "ericbair-sciome", "_type": "src", "_file": "eadrm_0.1.4.tar.gz", "_fileid": "28e32c18a1b64fc8747a859fd9ccf3eb110a1245038cd1fdb8bd9634ddd9b248", "_filesize": 112574, "_sha256": "28e32c18a1b64fc8747a859fd9ccf3eb110a1245038cd1fdb8bd9634ddd9b248", 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