jonydog/survBootOutliers: Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis
Version 1.0

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) ; Pinto J.D., Carvalho A.M., Vinga S. (2015) .

Getting started

Package details

AuthorJoao Pinto <[email protected]>, Andre Verissimo <[email protected]>, Alexandra Carvalho <[email protected]>, Susana Vinga <[email protected]>
Bioconductor views Survival
MaintainerJoao Pinto <[email protected]>
LicenseGPL-2
Version1.0
URL https://github.com/jonydog/survBootOutliers
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("jonydog/survBootOutliers")
jonydog/survBootOutliers documentation built on May 28, 2018, 2:37 a.m.