Medication adherence, defined as medication-taking behavior that aligns with the agreed-upon treatment protocol, is critical for realizing the benefits of prescription medications. Medication adherence can be assessed using electronic adherence monitoring devices (EAMDs), pill bottles or boxes that contain a computer chip that records the date and time of each opening (or âactuationâ). Before researchers can use EAMD data, they must apply a series of decision rules to transform actuation data into adherence data. The purpose of this R package ('oncmap') is to transform EAMD actuations in the form of a raw .csv file, information about the patient, regimen, and non-monitored periods into two daily adherence values – Dose Taken and Correct Dose Taken.
Version: 0.1.7 Depends: R (≥ 3.60) Imports: readr, methods, readxl, dplyr, hms, lubridate, zoo Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-04-09 DOI: 10.32614/CRAN.package.oncmap Author: Michal Kouril [aut, cre], Meghan McGrady [aut], Mara Constance [aut], Kevin Hommel [aut] Maintainer: Michal Kouril <Michal.Kouril at cchmc.org> License: MIT + file LICENSE NeedsCompilation: no Materials: README NEWS CRAN checks: oncmap results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=oncmap to link to this page.
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