Package: oncmap 0.1.5

Michal Kouril

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.

Authors:Michal Kouril [aut, cre], Meghan McGrady [aut], Mara Constance [aut], Kevin Hommel [aut]

oncmap_0.1.5.tar.gz
oncmap_0.1.5.tar.gz(r-4.5-noble)oncmap_0.1.5.tar.gz(r-4.4-noble)
oncmap_0.1.5.tgz(r-4.4-emscripten)oncmap_0.1.5.tgz(r-4.3-emscripten)
oncmap.pdf |oncmap.html✨
oncmap/json (API)

# Install 'oncmap' in R:
install.packages('oncmap', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 4 exports 34 dependencies

Last updated 26 days agofrom:f713c3ed6c. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-linuxOKJan 27 2025

Exports:adherence_preprocessprocess_eamdread_inputreport_adherence

Dependencies:bitbit64cellrangerclicliprcpp11crayondplyrfansigenericsgluehmslatticelifecyclelubridatemagrittrpillarpkgconfigprettyunitsprogressR6readrreadxlrematchrlangtibbletidyselecttimechangetzdbutf8vctrsvroomwithrzoo

FORMATS

Rendered fromFORMATS.Rmdusingknitr::rmarkdownon Jan 27 2025.

Last update: 2025-01-27
Started: 2025-01-27