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AdhereR
View on CRAN: Click
here
Download and install AdhereR package within the R console
Install from CRAN:
install.packages("AdhereR")
Install from Github:
library("remotes")
install_github("cran/AdhereR")
Install by package version:
library("remotes")
install_version("AdhereR", "0.8.1")
Attach the package and use:
library("AdhereR")
Maintained by
Dan Dediu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
AdhereRViz . 10.32614/CRAN.package.AdhereR . https://github.com/ddediu/AdhereR . AdhereR citation info . AdhereR results . AdhereR.pdf . AdhereR: Adherence to Medications . Calling AdhereR from Python3 . Using AdhereR with various database technologies for processing very large datasets . AdhereR_0.8.1.tar.gz . AdhereR_0.8.1.zip . AdhereR_0.8.1.zip . AdhereR_0.8.1.zip . AdhereR_0.8.1.tgz . AdhereR_0.8.1.tgz . AdhereR_0.8.1.tgz . AdhereR_0.8.1.tgz . AdhereR_0.8.1.tgz . AdhereR_0.8.1.tgz . AdhereR archive . AdhereRViz . https://CRAN.R-project.org/package=AdhereR .
First Published: 2017-04-27
Latest Update: 2022-07-05
Description:
Computation of adherence to medications from Electronic Health care
Data and visualization of individual medication histories and adherence
patterns. The package implements a set of S3 classes and
functions consistent with current adherence guidelines and definitions.
It allows the computation of different measures of
adherence (as defined in the literature, but also several original ones),
their publication-quality plotting,
the estimation of event duration and time to initiation,
the interactive exploration of patient medication history and
the real-time estimation of adherence given various parameter settings.
It scales from very small datasets stored in flat CSV files to very large
databases and from single-thread processing on mid-range consumer
laptops to parallel processing on large heterogeneous computing clusters.
It exposes a standardized interface allowing it to be used from other
programming languages and platforms, such as Python.
How to cite:
Dan Dediu (2017). AdhereR: Adherence to Medications. R package version 0.8.1, https://cran.r-project.org/web/packages/AdhereR. Accessed 04 Apr. 2025.
Previous versions and publish date:
Other packages that cited AdhereR R package
View AdhereR citation profile
Other R packages that AdhereR depends,
imports, suggests or enhances
Complete documentation for AdhereR
Functions, R codes and Examples using
the AdhereR R package
Some associated functions: CMA0 . CMA1 . CMA2 . CMA5 . CMA6 . CMA7 . CMA8 . CMA9 . CMA_per_episode . CMA_polypharmacy . CMA_sliding_window . callAdhereR . compute.event.int.gaps . compute.treatment.episodes . compute_event_durations . cover_special_periods . durcomp.dispensing . durcomp.hospitalisation . durcomp.prescribing . get.event.plotting.area . get.legend.plotting.area . get.plotted.events . get.plotted.partial.cmas . getCMA . getCallerWrapperLocation . getEventInfo . getEventsToEpisodesMapping . getEventsToSlidingWindowsMapping . getInnerEventInfo . getMGs . last.plot.get.info . map.event.coords.to.plot . med.events.ATC . med.events . med.groups . plot.CMA0 . plot.CMA1 . plot.CMA_per_episode . plot_interactive_cma . print.CMA0 . prune_event_durations . subsetCMA . time_to_initiation .
Some associated R codes: adherer.R . call-adherer-external.R . matching_function.R . plotting.R . polypharmacy.R . Full AdhereR package functions and examples
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