DESCRIPTION

Package: riskscores
Title: Optimized Integer Risk Score Models
Version: 1.1.1
Authors@R: c(
    person("Hannah", "Eglinton", , "eglintonh@gmail.com", role = c("aut", "cre")),
    person("Alice", "Paul", , "alice_paul@brown.edu", role = c("aut", "cph")),
    person("Oscar", "Yan", , "yu_yan@brown.edu", role = "aut"),
    person(given = "R Core Team", role = c("ctb", "cph"), 
      comment = "Copyright holder of Rinternals.h, R.h, lm.c, Applic.h, statsR.h,
      glm package"),
    person(given = "Robert", family = "Gentleman", role = c("ctb", "cph"),
      comment = "Author and copyright holder of Rinternals.h"),
    person(given = "Ross", family = "Ihaka", role = c("ctb", "cph"),
      comment = "Author and copyright holder of Rinternals.h"),
    person(given = "Simon", family = "Davies", role = "ctb",
      comment = "Author of glm.fit function (modified in cv_risk_mod.R)"),
    person(given = "Thomas", family = "Lumley", role = "ctb",
      comment = "Author of glm.fit function (modified in cv_risk_mod.R)"))
Description: Implements an optimized approach to learning risk score models, where sparsity and integer constraints are integrated into the model-fitting process.
URL: https://github.com/hjeglinton/riskscores
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Imports: 
    dplyr,
    foreach,
    ggplot2,
    magrittr,
    stats
Suggests: 
    knitr,
    kableExtra,
    rmarkdown,
    doParallel
VignetteBuilder: knitr, kableExtra
Depends: 
    R (>= 2.10)
LazyData: true