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 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.

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Description file content

Package
AdhereR
Type
Package
Title
Adherence to Medications
Version
0.4.1
Author
Dan Dediu [aut, cre], Alexandra Dima [aut], Samuel Allemann [aut]
Maintainer
Dan Dediu
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.
URL
License
GPL (>= 2)
LazyData
TRUE
RoxygenNote
6.1.1
Imports
lubridate (>= 1.5), parallel (>= 3.0), data.table (>= 1.9), manipulate (>= 1.0), shiny (>= 1.0), shinyWidgets (>= 0.4.4), shinyjs (>= 1.0), V8 (>= 1.5), colourpicker (>= 1.0), viridisLite(>= 0.3), highlight (>= 0.4), clipr (>= 0.4), knitr (>= 1.20), readODS (>= 1.6), readxl (>= 1.2), haven (>= 2.0), DBI (>= 1.0), RMariaDB (>= 1.0.5), RSQLite (>= 2.1)
Depends
R (>= 3.0)
Suggests
rmarkdown (>= 1.1), R.rsp (>= 0.40)
VignetteBuilder
knitr, R.rsp
Encoding
UTF-8
NeedsCompilation
no
Packaged
2019-02-11 12:29:42 UTC; ddediu
Repository
CRAN
Date/Publication
2019-02-11 13:43:17 UTC

install.packages('AdhereR')

0.4.1

10 days ago

https://github.com/ddediu/AdhereR

Dan Dediu

GPL (>= 2)

Depends on

R (>= 3.0)

Imports

lubridate (>= 1.5), parallel (>= 3.0), data.table (>= 1.9), manipulate (>= 1.0), shiny (>= 1.0), shinyWidgets (>= 0.4.4), shinyjs (>= 1.0), V8 (>= 1.5), colourpicker (>= 1.0), viridisLite(>= 0.3), highlight (>= 0.4), clipr (>= 0.4), knitr (>= 1.20), readODS (>= 1.6), readxl (>= 1.2), haven (>= 2.0), DBI (>= 1.0), RMariaDB (>= 1.0.5), RSQLite (>= 2.1)

Suggests

rmarkdown (>= 1.1), R.rsp (>= 0.40)

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