Implements a bootstrap aggregated (bagged) version of the k-nearest neighbors survival probability prediction method (Lowsky et al. 2013). In addition to the bootstrapping of training samples, the features can be subsampled in each baselearner to break the correlation between them. The Rcpp package is used to speed up the computation.

Documentation

Manual: bnnSurvival.pdf
Vignette: None available.

Maintainer: Marvin N. Wright <marv at wrig.de>

Author(s): Marvin N. Wright

Install package and any missing dependencies by running this line in your R console:

install.packages("bnnSurvival")

Depends
Imports prodlim, pec, Rcpp(>=0.11.2), parallel, methods
Suggests survival, testthat
Enhances
Linking to Rcpp
Reverse
depends
Reverse
imports
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package bnnSurvival
Materials
URL
Task Views Survival
Version 0.1.5
Published 2017-05-10
License GPL-3
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks bnnSurvival check results
Package source bnnSurvival_0.1.5.tar.gz