Bagged k-Nearest Neighbors Survival Prediction
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Marvin N. Wright <marv@wrig.de>’
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Documentation
- Help pages
- 13
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 73%
- Return-value docs
- 100%
- Help pages citing references
- 8%
Downloads
Dependencies
Installing bnnSurvival adds 88 packages (44 with compiled code, 84 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.
Code & Tests
People & History
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.5Latest
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.1.42016-02-27
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-02-27
- Total releases
- 2 / 10 yrs
- License
- GPL-3 OSI
- Download size
- 9.6 KB
Cite
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