Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules R package OhdsiShinyAppBuilder version 1.0.0 Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>. Software Depends: R (>= 3.3.0) Imports: checkmate, DatabaseConnector, devtools, dplyr, ParallelLogger (>= 2.0.0), ResultModelManager (>= 0.4.0), rlang, shiny, shinydashboard, utils Suggests: Eunomia, jsonlite, knitr, rmarkdown, testthat, markdown, remotes Jenna Reps <jreps@its.jnj.com> Comprehensive R Archive Network (CRAN) Jenna Reps [aut, cre], Nathan Hall [aut], Josh Ide [aut], Jamie Gibert [aut] Apache License 2.0 2024-12-10 application/tgz https://CRAN.R-project.org/package=OhdsiShinyAppBuilder doi:10.32614/CRAN.package.OhdsiShinyAppBuilder