Rscripts used to make this R Shiny web application are available on Github.
This app was originally developed by Osman Yogurtcu who you can contact with questions at osman.yogurtcu@fda.hhs.gov.
A team of researchers have contributed to the continual development of the model and app:
- Richard A. Forhsee @FDA/CBER/OBE
- Carlos Villa @FDA/CBER/OBRR
Websites that we used to make this app and recommend:
- https://rstudio.github.io/shinydashboard/ - Shinydashboard is an R package that lets you create nice dashboards with Shiny.
- https://alhill.shinyapps.io/COVID19seir/ - Versatile and sophisticated Shiny-based app for COVID-19 epidemiological modelling from Allison Hill
- https://gallery.shinyapps.io/dist_calc/ - Probability distribution visualization app from Mine Cetinkaya-Rundel
- https://stat.ethz.ch/R-manual/R-devel/library/stats/html/00Index.html - R Stats package
- https://cran.r-project.org/web/packages/flexsurv/index.html - Flexible parametric models for time-to-event data, including the Royston-Parmar spline model, generalized gamma and generalized F distributions.
November 2020, Silver Spring, Maryland, USA