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oncmap  

Analyze Data from Electronic Adherence Monitoring Devices
View on CRAN: Click here


Download and install oncmap package within the R console
Install from CRAN:
install.packages("oncmap")

Install from Github:
library("remotes")
install_github("cran/oncmap")

Install by package version:
library("remotes")
install_version("oncmap", "0.1.5")



Attach the package and use:
library("oncmap")
Maintained by
Michal Kouril
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-01-27
Latest Update: 2025-01-27
Description:
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.
How to cite:
Michal Kouril (2025). oncmap: Analyze Data from Electronic Adherence Monitoring Devices. R package version 0.1.5, https://cran.r-project.org/web/packages/oncmap. Accessed 20 Feb. 2025.
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Complete documentation for oncmap
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