Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis R package survBootOutliers version 1.0 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) Three new methods to perform outlier detection in a survival context. In total there are six methods provided, the first three methods are traditional residual-based outlier detection methods, the second three are the concordance-based. Package developed during the work on the two following publications: Pinto J., Carvalho A. and Vinga S. (2015) <doi:10.5220/0005225300750082>; Pinto J.D., Carvalho A.M., Vinga S. (2015) <doi:10.1007/978-3-319-27926-8_22>. Software Depends: R (>= 3.4.0), survival, stats Imports: methods, utils Suggests: BiocParallel Joao Pinto <joao.pinto@tecnico.ulisboa.pt> Comprehensive R Archive Network (CRAN) Joao Pinto <joao.pinto@tecnico.ulisboa.pt>, Andre Verissimo <andre.verissimo@tecnico.ulisboa.pt>, Alexandra Carvalho <alexandra.carvalho@tecnico.ulisboa.pt>, Susana Vinga <susanavinga@tecnico.ulisboa.pt> GPL-2 2018-05-28 application/tgz https://CRAN.R-project.org/package=survBootOutliers doi:10.32614/CRAN.package.survBootOutliers