**** 2011/10/18 - version 0.1 **** This is the first version available for public download. We wait your comments for future improvements. **** 2012/06/01 - version 0.2 **** In this version, we have modified the title of the package in order to include the same methodology without censoring: the function boot.ROC() can be used when there is no censoring (logistic regression and traditional ROC curve), the function boot.ROCt() when there is censoring (Cox regression and time-dependent ROC curve). We also have modified the output values of the function: we added the results of the penalized regression model and the values of the false positive and negative rates for the different methods (apparent, cross-validation by bootstrap, bootstrap 0.632 and bootstrap 0.632+. **** 2013/07/08 - version 0.3 **** This version is compatible with R > 3.0. **** 2013/12/26 - version 0.5 **** This version is compatible with the CRAN policies. We therefore have changed the examples for time-saving. We also have merged the functions boot.ROC and boot.ROC.penfix into a single function boot.ROC. Similarly, we have merged the functions boot.ROCt and boot.ROCt.penfix into a single function boot.ROCt. The user have now to choose in the arguments of the function the option in order to define a priori the tuning parameter, which is by default re-estimated in each bootstrap sample. We also have performed many changes in the manual in order to offer a more precise support to users. This version is the first available on the CRAN mirrors.