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oncmap

Analyze Data from Electronic Adherence Monitoring Devices

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.7 rolling linux/jammy R-4.5 oncmap_0.1.7.tar.gz 57.0 KiB
0.1.7 rolling linux/noble R-4.5 oncmap_0.1.7.tar.gz 56.9 KiB
0.1.7 rolling source/ R- oncmap_0.1.7.tar.gz 60.5 KiB
0.1.7 latest linux/jammy R-4.5 oncmap_0.1.7.tar.gz 57.0 KiB
0.1.7 latest linux/noble R-4.5 oncmap_0.1.7.tar.gz 56.9 KiB
0.1.7 latest source/ R- oncmap_0.1.7.tar.gz 60.5 KiB
0.1.7 2026-04-26 source/ R- oncmap_0.1.7.tar.gz 60.5 KiB
0.1.7 2026-04-23 source/ R- oncmap_0.1.7.tar.gz 60.5 KiB
0.1.7 2026-04-09 windows/windows R-4.5 oncmap_0.1.7.zip 61.7 KiB
0.1.7 2025-04-20 source/ R- oncmap_0.1.7.tar.gz 60.5 KiB

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