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survBootOutliers  

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis
View on CRAN: Click here


Download and install survBootOutliers package within the R console
Install from CRAN:
install.packages("survBootOutliers")

Install from Github:
library("remotes")
install_github("cran/survBootOutliers")

Install by package version:
library("remotes")
install_version("survBootOutliers", "1.0")



Attach the package and use:
library("survBootOutliers")
Maintained by
Joao Pinto
[Scholar Profile | Author Map]
First Published: 2018-05-28
Latest Update: 2018-05-28
Description:
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>.
How to cite:
Joao Pinto (2018). survBootOutliers: Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis. R package version 1.0, https://cran.r-project.org/web/packages/survBootOutliers. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Complete documentation for survBootOutliers
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