# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "oncmap" in publications use:' type: software license: MIT title: 'oncmap: Analyze Data from Electronic Adherence Monitoring Devices' version: 0.1.5 doi: 10.32614/CRAN.package.oncmap abstract: 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. authors: - family-names: Kouril given-names: Michal email: Michal.Kouril@cchmc.org orcid: https://orcid.org/0000-0002-4786-7934 - family-names: McGrady given-names: Meghan email: Meghan.McGrady@cchmc.org orcid: https://orcid.org/0000-0002-3150-3239 - family-names: Constance given-names: Mara email: Constance.Mara@cchmc.org orcid: https://orcid.org/0000-0002-6776-8060 - family-names: Hommel given-names: Kevin email: Kevin.Hommel@cchmc.org orcid: https://orcid.org/0000-0002-9913-509X repository: https://CRAN.R-project.org/package=oncmap date-released: '2025-01-27' contact: - family-names: Kouril given-names: Michal email: Michal.Kouril@cchmc.org orcid: https://orcid.org/0000-0002-4786-7934