Package: AdhereRViz 0.2.1

AdhereRViz: Adherence to Medications

Interactive graphical user interface (GUI) for the package 'AdhereR', allowing the user to access different data sources, to explore the patterns of medication use therein, and the computation of various measures of adherence. It is implemented using Shiny and HTML/CSS/JavaScript.

Authors:Dan Dediu [aut, cre], Alexandra Dima [aut], Samuel Allemann [aut]

AdhereRViz_0.2.1.tar.gz
AdhereRViz_0.2.1.zip(r-4.5)AdhereRViz_0.2.1.zip(r-4.4)AdhereRViz_0.2.1.zip(r-4.3)
AdhereRViz_0.2.1.tgz(r-4.4-any)AdhereRViz_0.2.1.tgz(r-4.3-any)
AdhereRViz_0.2.1.tar.gz(r-4.5-noble)AdhereRViz_0.2.1.tar.gz(r-4.4-noble)
AdhereRViz_0.2.1.tgz(r-4.4-emscripten)AdhereRViz_0.2.1.tgz(r-4.3-emscripten)
AdhereRViz.pdf |AdhereRViz.html✨
AdhereRViz/json (API)

# Install 'AdhereRViz' in R:

install.packages('AdhereRViz', repos = c('https://ddediu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ddediu/adherer/issues

On CRAN:

adherence-to-medications electronic-healthcare-data hadoop medical-databases medication-histories python sql visualisation

4.72 score 26 stars 2 scripts 436 downloads 1 exports 86 dependencies

Last updated 10 months agofrom:bc135dc0c8. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 03 2024
R-4.5-win	OK	Nov 03 2024
R-4.5-linux	OK	Nov 03 2024
R-4.4-win	OK	Nov 03 2024
R-4.4-mac	OK	Nov 03 2024
R-4.3-win	OK	Nov 03 2024
R-4.3-mac	OK	Nov 03 2024