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survBootOutliers

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

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>.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 survBootOutliers_1.0.tar.gz 192.4 KiB
1.0 rolling linux/noble R-4.5 survBootOutliers_1.0.tar.gz 192.3 KiB
1.0 rolling source/ R- survBootOutliers_1.0.tar.gz 160.1 KiB
1.0 latest linux/jammy R-4.5 survBootOutliers_1.0.tar.gz 192.4 KiB
1.0 latest linux/noble R-4.5 survBootOutliers_1.0.tar.gz 192.3 KiB
1.0 latest source/ R- survBootOutliers_1.0.tar.gz 160.1 KiB
1.0 2026-04-26 source/ R- survBootOutliers_1.0.tar.gz 160.1 KiB
1.0 2026-04-23 source/ R- survBootOutliers_1.0.tar.gz 160.1 KiB
1.0 2026-04-09 windows/windows R-4.5 survBootOutliers_1.0.zip 195.6 KiB
1.0 2025-04-20 source/ R- survBootOutliers_1.0.tar.gz 160.1 KiB

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