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.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: dplyr, foreach, ggplot2, magrittr, stats
Suggests: knitr, kableExtra, rmarkdown, doParallel
Published: 2024-04-16
Author: Hannah Eglinton [aut, cre], Alice Paul [aut, cph], Oscar Yan [aut], R Core Team [ctb, cph] (Copyright holder of Rinternals.h, R.h, lm.c, Applic.h, statsR.h, glm package), Robert Gentleman [ctb, cph] (Author and copyright holder of Rinternals.h), Ross Ihaka [ctb, cph] (Author and copyright holder of Rinternals.h), Simon Davies [ctb] (Author of glm.fit function (modified in cv_risk_mod.R)), Thomas Lumley [ctb] (Author of glm.fit function (modified in cv_risk_mod.R))
Maintainer: Hannah Eglinton <eglintonh at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/hjeglinton/riskscores
NeedsCompilation: yes
Materials: README
CRAN checks: riskscores results

Documentation:

Reference manual: riskscores.pdf
Vignettes: Risk Score Vignette

Downloads:

Package source: riskscores_1.1.0.tar.gz
Windows binaries: r-prerel: riskscores_1.1.0.zip, r-release: riskscores_1.0.2.zip, r-oldrel: riskscores_1.1.0.zip
macOS binaries: r-prerel (arm64): riskscores_1.1.0.tgz, r-release (arm64): riskscores_1.1.0.tgz, r-oldrel (arm64): riskscores_1.1.0.tgz, r-prerel (x86_64): riskscores_1.1.0.tgz, r-release (x86_64): riskscores_1.1.0.tgz
Old sources: riskscores archive

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