jonydog/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>.
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Package details |
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| Author | 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> |
| Bioconductor views | Survival |
| Maintainer | Joao Pinto <joao.pinto@tecnico.ulisboa.pt> |
| License | GPL-2 |
| Version | 1.0 |
| URL | https://github.com/jonydog/survBootOutliers |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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