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: | 0.1.0 |
| Depends: | R (≥ 3.0) |
| Imports: | lubridate (≥ 1.5), parallel (≥ 3.0), data.table (≥ 1.9), manipulate (≥ 1.0), snow (≥ 0.4) |
| Suggests: | knitr (≥ 1.15), rmarkdown (≥ 1.1) |
| Published: | 2017-04-27 |
| 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 |
| Reference manual: | AdhereR.pdf |
| Vignettes: |
AdhereR: Adherence to Medications |
| Package source: | AdhereR_0.1.0.tar.gz |
| Windows binaries: | r-devel: AdhereR_0.1.0.zip, r-release: AdhereR_0.1.0.zip, r-oldrel: AdhereR_0.1.0.zip |
| OS X El Capitan binaries: | r-release: AdhereR_0.1.0.tgz |
| OS X Mavericks binaries: | r-oldrel: AdhereR_0.1.0.tgz |
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