Package: riskscores 1.1.1

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], 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_1.1.1.tar.gz
riskscores_1.1.1.zip(r-4.5)riskscores_1.1.1.zip(r-4.4)riskscores_1.1.1.zip(r-4.3)
riskscores_1.1.1.tgz(r-4.4-any)riskscores_1.1.1.tgz(r-4.3-any)
riskscores_1.1.1.tar.gz(r-4.5-noble)riskscores_1.1.1.tar.gz(r-4.4-noble)
riskscores_1.1.1.tgz(r-4.4-emscripten)riskscores_1.1.1.tgz(r-4.3-emscripten)
riskscores.pdf |riskscores.html✨
riskscores/json (API)

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

Peer review:

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

Datasets:

On CRAN:

5.32 score 1 stars 7 scripts 144 downloads 10 exports 34 dependencies

Last updated 9 days agofrom:59d1a893db. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winWARNINGOct 28 2024
R-4.5-linuxWARNINGOct 28 2024
R-4.4-winWARNINGOct 28 2024
R-4.4-macWARNINGOct 28 2024
R-4.3-winWARNINGOct 28 2024
R-4.3-macWARNINGOct 28 2024

Exports:%>%clip_exp_valscv_risk_modcv_risk_mod_random_startget_metricsget_riskget_scorerisk_modrisk_mod_random_startstratify_folds

Dependencies:clicodetoolscolorspacedplyrfansifarverforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbletidyselectutf8vctrsviridisLitewithr

Risk Score Vignette

Rendered fromriskscores.Rmdusingknitr::rmarkdownon Oct 28 2024.

Last update: 2024-04-02
Started: 2023-12-05