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bnnSurvival  

Bagged k-Nearest Neighbors Survival Prediction
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bnnSurvival", "0.1.5")



Attach the package and use:
library("bnnSurvival")
Maintained by
Marvin N. Wright
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-27
Latest Update: 2017-05-10
Description:
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.
How to cite:
Marvin N. Wright (2016). bnnSurvival: Bagged k-Nearest Neighbors Survival Prediction. R package version 0.1.5, https://cran.r-project.org/web/packages/bnnSurvival. Accessed 09 Jun. 2026.
Previous versions and publish date:
0.1.4 (2016-02-27 14:40)
Other packages that cited bnnSurvival R package
View bnnSurvival citation profile
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Complete documentation for bnnSurvival
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