bnnSurvival: Bagged k-Nearest Neighbors Survival Prediction

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.

Version: 0.1.5
Imports: prodlim, pec, Rcpp (≥ 0.11.2), parallel, methods
LinkingTo: Rcpp
Suggests: survival, testthat
Published: 2017-05-10
DOI: 10.32614/CRAN.package.bnnSurvival
Author: Marvin N. Wright
Maintainer: Marvin N. Wright <marv at>
License: GPL-3
NeedsCompilation: yes
In views: Survival
CRAN checks: bnnSurvival results


Reference manual: bnnSurvival.pdf


Package source: bnnSurvival_0.1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bnnSurvival_0.1.5.tgz, r-oldrel (arm64): bnnSurvival_0.1.5.tgz, r-release (x86_64): bnnSurvival_0.1.5.tgz, r-oldrel (x86_64): bnnSurvival_0.1.5.tgz
Old sources: bnnSurvival archive


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