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survBootOutliers (version 1.0)

Concordance Based Bootstrap Methods for Outlier Detection in Survival Analysis

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

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install.packages('survBootOutliers')

Monthly Downloads

150

Version

1.0

License

GPL-2

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Maintainer

Joao Pinto

Last Published

May 28th, 2018

Functions in survBootOutliers (1.0)

display.obs.histogram

Auxiliar function that displays the concordance histogram associated with the observation.
get.whas100.dataset

Function that retrieves the WHAS100 dataset.
survBootOutliers

Extract the most outlying observations following a criteria based on the bootstrapped concordance with parallel processing