Package: bnnSurvival 0.1.5

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.

Authors:Marvin N. Wright

bnnSurvival_0.1.5.tar.gz
bnnSurvival_0.1.5.zip(r-4.7)bnnSurvival_0.1.5.zip(r-4.6)bnnSurvival_0.1.5.zip(r-4.5)
bnnSurvival_0.1.5.tgz(r-4.6-x86_64)bnnSurvival_0.1.5.tgz(r-4.6-arm64)bnnSurvival_0.1.5.tgz(r-4.5-x86_64)bnnSurvival_0.1.5.tgz(r-4.5-arm64)
bnnSurvival_0.1.5.tar.gz(r-4.7-arm64)bnnSurvival_0.1.5.tar.gz(r-4.7-x86_64)bnnSurvival_0.1.5.tar.gz(r-4.6-arm64)bnnSurvival_0.1.5.tar.gz(r-4.6-x86_64)
bnnSurvival_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bnnSurvival/json (API)

# Install 'bnnSurvival' in R:

install.packages('bnnSurvival', repos = c('https://mnwright.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mnwright/bnnsurvival/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

3.18 score 1 stars 1 packages 5 scripts 306 downloads 6 exports 99 dependencies

Last updated from:694072bc55. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	174
linux-devel-x86_64	OK	168
source / vignettes	OK	234
linux-release-arm64	OK	186
linux-release-x86_64	OK	171
macos-release-arm64	OK	221
macos-release-x86_64	OK	438
macos-oldrel-arm64	OK	201
macos-oldrel-x86_64	OK	294
windows-devel	OK	132
windows-release	OK	136
windows-oldrel	OK	122
wasm-release	OK	130

Exports:bnnSurvival predict predictions print show timepoints

Dependencies:backports base64enc bslib cachem checkmate cli cluster cmprsk codetools colorspace cpp11 data.table diagram digest doParallel evaluate farver fastmap fontawesome foreach foreign Formula fs future future.apply ggplot2 glmnet globals glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv magrittr MASS Matrix MatrixModels memoise mets mime multcomp mvtnorm nlme nnet numDeriv parallelly pec plotrix polspline prodlim progressr Publish quantreg R6 ranger rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen riskRegression rlang rmarkdown rms rpart rstudioapi S7 sandwich sass scales shape SparseM SQUAREM stringi stringr survival TH.data timereg tinytex vctrs viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bagged k-nearest neighbors survival prediction	bnnSurvival
Get optimal number of neighbors	get_best_k
Compute prediction for all samples.	predict,bnnSurvivalBaseLearner-method
Predict survival probabilities with bagged k-nearest neighbors survival prediction.	predict,bnnSurvivalEnsemble-method
Get Predictions	predictions
Get Predictions	predictions,bnnSurvivalResult-method
Function to extract survival probability predictions from bnnSurvivalEnsemble. Use with 'pec' package.	predictSurvProb.bnnSurvivalEnsemble
Generic print method for bnnSurvivalEnsemble	print,bnnSurvivalEnsemble-method
Generic print method for bnnSurvivalResult	print,bnnSurvivalResult-method
Generic show method for bnnSurvivalEnsemble	show,bnnSurvivalEnsemble-method
Generic show method for bnnSurvivalResult	show,bnnSurvivalResult-method
Get Timepoints	timepoints
Get timepoints	timepoints,bnnSurvivalResult-method