PredictABEL



An R package for the assessment of risk prediction models



Calibration
Risk distribution
ROC curve
Reclassification table
Calibration plot Risk distribution plot ROC curve Reclassification table



About PredictABEL is an R package for the assessment of (genetic) risk prediction models. The package includes the functions to compute univariate and multivariate odds ratios (OR) of the predictors, the c-statistic (or area under the receiver operating characteristic (ROC) curve (AUC)), Hosmer-Lemeshow goodness of fit test, reclassification table, net reclassification improvement (NRI) and integrated discrimination improvement (IDI).

Documentation Reference Manual [ PDF | HTML ]


Citing If you use PredictABEL, please cite the following paper:
PredictABEL: an R package for the assessment of risk prediction models. S Kundu, YS Aulchenko, CM van Duijn, ACJW Janssens. Eur J Epidemiol. April 2011. PubMED


Contact We would be very pleased to receiving any comments and suggestions for further improvement of the package. Please send an email to Suman Kundu or Cecile Janssens.



Summary of features:
  • Status: Stable
  • Install: start R, then type install.packages("PredictABEL")
  • Quick start: start R, then library(PredictABEL); help("PredictABEL-package")
  • Tutorial: would someone like to contribute one?
  • Known issues: see our bug tracker