--- a +++ b/README.md @@ -0,0 +1,33 @@ +# eventPrediction + +[](https://travis-ci.org/scientific-computing-solutions/eventPrediction) +[](https://cran.r-project.org/package=eventPrediction) +[](https://coveralls.io/github/scientific-computing-solutions/eventPrediction?branch=forCRAN) +[](https://ci.appveyor.com/project/scientific-computing-solutions/eventPrediction) +[](https://cran.r-project.org/package=eventPrediction) + +Event Prediction in Clinical Trials with Time-to-Event Outcomes + +This R package implements methods to predict either the required number to achieve +a target or the expected time at which you will reach the required number of events. +You can use this package in the design phase of clinical trials or in the reporting +phase. Which means you can use simulate a trial based on a set of assumption and +run prediction and calculate uncertainties when your trial will finish. Alternatively +you can upload your trial data, simulate additional patient recruitment based on +observed one and run prediction on when the target number of event will be reached +or the expected number of events at a given time. + +## Contributors +Dalevi, Daniel (maintainer); Burkoff, Nikolas; Hollis, Sally; Mann, Helen; Metcalfe, + Paul; Ruau, David; + +## Installation + +To install the development version from GitHub: +```R +install.packages("devtools") +# We spent a lot of time developing the vignettes. We recommend the read but +# building them from source takes some time +devtools::install_github("scientific-computing-solutions/eventPrediction", + build_vignettes = TRUE) +```