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# eventPrediction





  
  

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[![Build Status](https://travis-ci.org/scientific-computing-solutions/eventPrediction.svg?branch=master)](https://travis-ci.org/scientific-computing-solutions/eventPrediction)





  
  

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[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/eventPrediction)](https://cran.r-project.org/package=eventPrediction)





  
  

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[![Coverage Status](https://coveralls.io/repos/scientific-computing-solutions/eventPrediction/badge.svg?branch=forCRAN&service=github)](https://coveralls.io/github/scientific-computing-solutions/eventPrediction?branch=forCRAN)





  
  

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[![AppVeyor Build Status](https://ci.appveyor.com/api/projects/status/github/scientific-computing-solutions/eventPrediction?branch=forCRAN&svg=true)](https://ci.appveyor.com/project/scientific-computing-solutions/eventPrediction)





  
  

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[![CRAN RStudio mirror downloads](http://cranlogs.r-pkg.org/badges/eventPrediction)](https://cran.r-project.org/package=eventPrediction)





  
  

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Event Prediction in Clinical Trials with Time-to-Event Outcomes





  
  

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This R package implements methods to predict either the required number to achieve 





  
  

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a target or the expected time at which you will reach the required number of events.





  
  

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You can use this package in the design phase of clinical trials or in the reporting





  
  

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phase. Which means you can use simulate a trial based on a set of assumption and 





  
  

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run prediction and calculate uncertainties when your trial will finish. Alternatively 





  
  

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you can upload your trial data, simulate additional patient recruitment based on 





  
  

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observed one and run prediction on when the target number of event will be reached





  
  

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or the expected number of events at a given time.





  
  

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## Contributors





  
  

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Dalevi, Daniel (maintainer); Burkoff, Nikolas; Hollis, Sally; Mann, Helen; Metcalfe,





  
  

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 Paul; Ruau, David;





  
  

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## Installation





  
  

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To install the development version from GitHub:





  
  

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```R





  
  

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install.packages("devtools")





  
  

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# We spent a lot of time developing the vignettes. We recommend the read but 





  
  

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# building them from source takes some time





  
  

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devtools::install_github("scientific-computing-solutions/eventPrediction", 





  
  

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                         build_vignettes = TRUE)





  
  

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```