Analyze Data from Electronic Adherence Monitoring Devices R package oncmap version 0.1.7 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 “actuation”). 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. Software Depends: R (>= 3.60) Imports: readr, methods, readxl, dplyr, hms, lubridate, zoo Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Michal Kouril <Michal.Kouril@cchmc.org> Comprehensive R Archive Network (CRAN) Michal Kouril [aut, cre] (ORCID: <https://orcid.org/0000-0002-4786-7934>), Meghan McGrady [aut] (ORCID: <https://orcid.org/0000-0002-3150-3239>), Mara Constance [aut] (ORCID: <https://orcid.org/0000-0002-6776-8060>), Kevin Hommel [aut] (ORCID: <https://orcid.org/0000-0002-9913-509X>) MIT + file LICENSE (https://CRAN.R-project.org/package=oncmap/LICENSE) 2025-04-09 application/tgz https://CRAN.R-project.org/package=oncmap doi:10.32614/CRAN.package.oncmap