CRAN/E | AdhereR

AdhereR

Adherence to Medications

Installation

About

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.

Citation AdhereR citation info
github.com/ddediu/AdhereR

Key Metrics

Version 0.8.1
R ≥ 3.0
Published 2022-07-05 655 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks AdhereR results

Downloads

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Maintainer

Maintainer

Dan Dediu

ddediu@gmail.com

Authors

Dan Dediu

aut / cre

Alexandra Dima

aut

Samuel Allemann

aut

Material

Reference manual
Package source

Vignettes

AdhereR: Adherence to Medications
Calling AdhereR from Python3
Using AdhereR with various database technologies for processing very large datasets

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

AdhereR archive

Depends

R ≥ 3.0

Imports

lubridate ≥ 1.5
parallel ≥ 3.0
data.table ≥ 1.9
rsvg ≥ 1.3
jpeg ≥ 0.1
png ≥ 0.1
webp ≥ 1.0
methods

Suggests

rmarkdown ≥ 1.1
knitr ≥ 1.20
R.rsp ≥ 0.40
base64 ≥ 2.0
viridisLite ≥ 0.4
AdhereRViz ≥ 0.2

Reverse Imports

AdhereRViz