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Medication adherence can be assessed using\nelectronic adherence monitoring devices (EAMDs), pill bottles\nor boxes that contain a computer chip that records the date and\ntime of each opening (or “actuation”). Before researchers can\nuse EAMD data, they must apply a series of decision rules to\ntransform actuation data into adherence data. The purpose of\nthis R package ('oncmap') is to transform EAMD actuations in\nthe form of a raw .csv file, information about the patient,\nregimen, and non-monitored periods into two daily adherence\nvalues -- Dose Taken and Correct Dose Taken.", "Encoding": "UTF-8", "LazyData": "true", "Config/testthat/edition": "3", "RoxygenNote": "7.3.1", "VignetteBuilder": "knitr", "License": "MIT + file LICENSE", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-20 07:25:12 UTC", "User": "root" }, "Author": "Michal Kouril [aut, cre]\n(), Meghan McGrady [aut]\n(), Mara Constance [aut]\n(), Kevin Hommel [aut]\n()", "Maintainer": "Michal Kouril ", "Config/pak/sysreqs": "libx11-dev", "Repository": "https://michalkouril.r-universe.dev", "Date/Publication": "2025-04-09 17:34:33 UTC", "RemoteUrl": "https://github.com/cran/oncmap", "RemoteRef": "HEAD", "RemoteSha": "d5ef7fec6d76ac6c74555aaac78b09db690bfbea", "_user": "michalkouril", "_type": "src", "_file": "oncmap_0.1.7.tar.gz", "_fileid": 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