Package: riskscores 1.2.3

riskscores: Optimized Integer Risk Score Models

Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.

Authors:Hannah Eglinton [aut, cre], Seehanah Tang [aut, aut], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph], Robert Gentleman [ctb, cph], Ross Ihaka [ctb, cph], Simon Davies [ctb], Thomas Lumley [ctb]

riskscores_1.2.3.tar.gz
riskscores_1.2.3.zip(r-4.7)riskscores_1.2.3.zip(r-4.6)riskscores_1.2.3.zip(r-4.5)
riskscores_1.2.3.tgz(r-4.6-any)riskscores_1.2.3.tgz(r-4.5-any)
riskscores_1.2.3.tar.gz(r-4.7-any)riskscores_1.2.3.tar.gz(r-4.6-any)
riskscores_1.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
riskscores/json (API)

# Install 'riskscores' in R:
install.packages('riskscores', repos = c('https://hjeglinton.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hjeglinton/riskscores/issues

Datasets:

On CRAN:

Conda:

5.11 score 1 stars 13 scripts 186 downloads 11 exports 30 dependencies

Last updated from:d8bfc127fc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK308
linux-release-x86_64OK129
macos-release-arm64OK149
macos-oldrel-arm64OK198
windows-develOK105
windows-releaseOK90
windows-oldrelOK95
wasm-releaseOK108

Exports:%>%clip_exp_valscv_risk_modget_metricsget_riskget_scoreplot_accuracy.cv_risk_modplot_deviance.cv_risk_modrisk_modrisk_mod_random_startstratify_folds

Dependencies:clicodetoolscpp11dplyrfarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglifecyclemagrittrpillarpkgconfigpROCR6RColorBrewerRcpprlangS7scalestibbletidyselectutf8vctrsviridisLitewithr

Risk Score Vignette

Rendered fromriskscores.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2025-05-29
Started: 2023-12-05