Optimized Integer Risk Score Models R package riskscores version 1.2.3 Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process. Software Depends: R (>= 2.10) Imports: dplyr, foreach, ggplot2, magrittr, pROC, stats Suggests: knitr, kableExtra, rmarkdown, doParallel Hannah Eglinton <eglintonh@gmail.com> Comprehensive R Archive Network (CRAN) Hannah Eglinton [aut, cre], Seehanah Tang [aut, aut], 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)) GPL (>= 3) 2025-07-28 application/tgz https://CRAN.R-project.org/package=riskscores doi:10.32614/CRAN.package.riskscores