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>.

Version:	1.0
Depends:	R (≥ 3.4.0), survival, stats
Imports:	methods, utils
Suggests:	BiocParallel
Published:	2018-05-28
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

Documentation:

Reference manual:	survBootOutliers.pdf
Vignettes:	Introduction

Downloads:

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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