Package: NBvarsel 0.1.1

NBvarsel: Variable Selection via Cross-Validated Net Benefit

Performs exhaustive or groupwise (backward elimination) variable selection for binary outcome prediction models using cross-validated Net Benefit as the optimization criterion. It supports predictor costs, restricted cubic splines, interaction terms, permutation importance, and parallel computation. It includes visualizations for model comparison and variable importance. References include Vickers AJ & Elkin EB (2006) <doi:10.1177/0272989X06295361>, Van Calster B et al. (2018) <doi:10.1016/j.eururo.2018.08.038>, Vickers AJ et al. (2019) <doi:10.1186/s41512-019-0064-7>, and Baker SG et al. (2012) <doi:10.1515/1557-4679.1395>.

Authors:Lasai Barreñada [aut, cre], Laure Wynants [aut], Ewout W. Steyerberg [aut], Andrew Vickers [aut], Ben Van Calster [aut]

NBvarsel_0.1.1.tar.gz
NBvarsel_0.1.1.zip(r-4.7-any)NBvarsel_0.1.1.zip(r-4.6-any)NBvarsel_0.1.1.zip(r-4.5-any)
NBvarsel_0.1.1.tgz(r-4.6-any)NBvarsel_0.1.1.tgz(r-4.5-any)
NBvarsel_0.1.1.tar.gz(r-4.7-any)NBvarsel_0.1.1.tar.gz(r-4.6-any)
NBvarsel_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NBvarsel/json (API)

# Install 'NBvarsel' in R:

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

Bug tracker:https://github.com/lasaibarrenada/nb_varsel/issues

Pkgdown/docs site:https://lasaibarrenada.github.io

Datasets:

adnex_results - ADNEX Exhaustive Variable Selection Results

On CRAN:

quarto

4.90 score 2 stars 3 scripts 331 downloads 3 exports 150 dependencies

Last updated from:719fb2195a. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	197
source / vignettes	OK	362
linux-release	OK	204
macos-release	OK	235
macos-oldrel	OK	241
windows-devel	OK	161
windows-release	OK	180
windows-oldrel	OK	154
wasm-release	OK	153

Exports:all_subset_plot nb_varsel VIF_plot

Dependencies:askpass backports base64enc bit bit64 boot bslib cachem caret cellranger checkmate class cli clipr clock cluster codetools colorspace commonmark cpp11 crayon curl data.table DescTools diagram digest doParallel dplyr e1071 evaluate Exact expm farver fastmap fontawesome forcats foreach foreign Formula fs future future.apply generics ggplot2 ggtext gld globals glue gower gridExtra gridtext gtable hardhat haven highr Hmisc hms htmlTable htmltools htmlwidgets httr ipred isoband iterators jpeg jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv litedown lmom lubridate magrittr markdown MASS Matrix MatrixModels memoise mime ModelMetrics multcomp mvtnorm nlme nnet numDeriv openssl parallelly patchwork pillar pkgconfig plyr png polspline prettyunits pROC prodlim progress progressr proxy purrr quantreg R6 rappdirs RColorBrewer Rcpp readr readxl recipes rematch reshape2 rlang rmarkdown rms rootSolve rpart rstudioapi S7 sandwich sass scales shape SparseM sparsevctrs SQUAREM stringi stringr survival sys TH.data tibble tidyr tidyselect timechange timeDate tinytex tzdb utf8 vctrs viridisLite vroom withr xfun xml2 yaml zoo

Variable Selection via Net Benefit with NBvarsel

Rendered fromnb-varsel-tutorial.qmdusingquarto::html

Last update: 2026-05-17
Started: 2026-03-26

Help page	Topics
ADNEX Exhaustive Variable Selection Results	adnex_results
All-Subset Model Comparison Plot	all_subset_plot
Variable Selection via Cross-Validated Net Benefit	nb_varsel
Permutation Importance Bar Plot	VIF_plot

Package: NBvarsel 0.1.1

NBvarsel: Variable Selection via Cross-Validated Net Benefit

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)