Skip to content

Latest commit

 

History

History
68 lines (48 loc) · 2.79 KB

README.md

File metadata and controls

68 lines (48 loc) · 2.79 KB

OhdsiShinyModules

Build Status codecov.io

OhdsiShinyModules is part of HADES.

OhdsiShinyModules is an R package containing shiny modules that can be used within shiny result interfaces.

The OHDSI tools often provide shiny interfaces for viewing and exploring results. Many of these shiny apps have overlapping features. To ensure consistency we have created a repository containing useful shiny modules that can be used in multiple result explorers.

Current Modules

  • about module: this contains information about the shiny viewer and the types of OHDSI analyses.
  • cohort diagnostics module: a module for exploring CohortDiagnostics results.
  • characterization module: a module for exploring Characterization and CohortIncidence results.
  • estimation module: a module for exploring CohortMethod, SelfControlledCaseSeries and EvidenceSynthesis results.
  • prediction module: a module for exploring patient-level prediction results that were developed usign the OHDSI PatientLevelPrediction package.
  • report module: a module that uses ReportGenerator to create a report based on user specified inputs.

Technology

OhdsiShinyModules is an R package that uses the R shiny library.

System Requirements

Requires R (version 3.3.0 or higher).

Installation

  1. See the instructions here for configuring your R environment, including Java.

  2. To install the latest stable version:

install.packages('remotes')
remotes::install_github('ohdsi/OhdsiShinyModules')

User Documentation

Documentation can be found on the package website.

Support

Contributing

  • Read here how you can contribute to this package.
  • This website may be helpful if you want to see an introduction into how to write shiny modules

License

OhdsiShinyModules is licensed under Apache License 2.0

Development

OhdsiShinyModules is being developed in R Studio.

Acknowledgements

  • The package is maintained by and has been developed with major contributions from