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bnnSurvival
View on CRAN: Click
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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]
[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 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 0.1.4 (2016-02-27 14:40)
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Other R packages that bnnSurvival depends,
imports, suggests or enhances
Complete documentation for bnnSurvival
Functions, R codes and Examples using
the bnnSurvival R package
Some associated functions: bnnSurvival . get_best_k . predict-bnnSurvivalBaseLearner-method . predict-bnnSurvivalEnsemble-method . predictSurvProb.bnnSurvivalEnsemble . predictions-bnnSurvivalResult-method . predictions . print-bnnSurvivalEnsemble-method . print-bnnSurvivalResult-method . show-bnnSurvivalEnsemble-method . show-bnnSurvivalResult-method . timepoints-bnnSurvivalResult-method . timepoints .
Some associated R codes: RcppExports.R . all_generics.R . bnnSurvival.R . bnnSurvivalBaseLearner.R . bnnSurvivalEnsemble.R . bnnSurvivalPredictions.R . bnnSurvivalResult.R . utility.R . Full bnnSurvival package functions and examples
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