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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>.
Version: | 1.0 |
Depends: | R (≥ 3.4.0), survival, stats |
Imports: | methods, utils |
Suggests: | BiocParallel |
Published: | 2018-05-28 |
DOI: | 10.32614/CRAN.package.survBootOutliers |
Author: | Joao Pinto, Andre Verissimo, Alexandra Carvalho, Susana Vinga |
Maintainer: | Joao Pinto <joao.pinto at tecnico.ulisboa.pt> |
License: | GPL-2 |
URL: | https://github.com/jonydog/survBootOutliers |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | survBootOutliers results |
Reference manual: | survBootOutliers.pdf |
Vignettes: |
Introduction |
Package source: | survBootOutliers_1.0.tar.gz |
Windows binaries: | r-devel: survBootOutliers_1.0.zip, r-release: survBootOutliers_1.0.zip, r-oldrel: survBootOutliers_1.0.zip |
macOS binaries: | r-release (arm64): survBootOutliers_1.0.tgz, r-oldrel (arm64): survBootOutliers_1.0.tgz, r-release (x86_64): survBootOutliers_1.0.tgz, r-oldrel (x86_64): survBootOutliers_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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