AdhereR: Adherence to Medications

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 interactive exploration of patient medication history and the real-time estimation of adherence given various parameter settings.

Version: 0.2.0
Depends: R (≥ 3.0)
Imports: lubridate (≥ 1.5), parallel (≥ 3.0), data.table (≥ 1.9), manipulate (≥ 1.0), shiny (≥ 1.0)
Suggests: knitr (≥ 1.15), rmarkdown (≥ 1.1)
Published: 2018-06-15
Author: Dan Dediu [aut, cre], Alexandra Dima [aut]
Maintainer: Dan Dediu <ddediu at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ddediu/AdhereR
NeedsCompilation: no
Citation: AdhereR citation info
CRAN checks: AdhereR results

Downloads:

Reference manual: AdhereR.pdf
Vignettes: AdhereR: Adherence to Medications
Calling AdhereR from Python3
Package source: AdhereR_0.2.0.tar.gz
Windows binaries: r-devel: AdhereR_0.2.0.zip, r-release: AdhereR_0.2.0.zip, r-oldrel: AdhereR_0.2.0.zip
OS X binaries: r-release: AdhereR_0.2.0.tgz, r-oldrel: AdhereR_0.1.0.tgz
Old sources: AdhereR archive

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