
This app is designed to plot simulation results of clinical trials.Its main feature is allowing users to simultaneously investigate theimpact of several simulation input dimensions through dynamic filteringof the simulation results. A more detailed description of the core appcan be found inMeyeret al. Please note that the app has evolved since the paper waspublished. The app is optimized forFACTS -Fixed and Adaptive Clinical Trial Simulator - simulation output files,but can be used with any dataset in .csv format.
The app can be installed and run locally, or accessed through thelive version.
You can install the latest stable version fromGitHub using:
# install.packages("devtools")devtools::install_github("el-meyer/airship@*release")and run the app using:
library(airship)airship()The development version can be installed using:
# install.packages("devtools")devtools::install_github("el-meyer/airship")In some instances, the installation may fail and error with anuninformative “lazy-loading” error. InstallingRtools maysolve the problem. This is particularly true when running Windows on aVM on an ARM based machine.
Please see thereference manual for moreinformation on the usage of this package. You can also directly jump tothevignetteor one of the examples:example1andexample2.
Elias Laurin Meyer is a salaried employee ofBerry Consultants and waspreviously a member of the EU-PEARL consortium.
EU-PEARL (EU Patient-cEntric clinicAl tRial pLatforms) project hasreceived funding from the Innovative Medicines Initiative (IMI) 2 JointUndertaking (JU) under grant agreement No 853966. This Joint Undertakingreceives support from the European Union’s Horizon 2020 research andinnovation program and EFPIA and Children’s Tumor Foundation, GlobalAlliance for TB Drug Development non-profit organization, SpringworksTherapeutics Inc. This publication reflects the authors’ views. NeitherIMI nor the European Union, EFPIA, or any Associated Partners areresponsible for any use that may be made of the information containedherein.