predictNMB/DESCRIPTION at master · ropensci/predictNMB · GitHub

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Package: predictNMB
Type: Package
Title: Evaluate Clinical Prediction Models by Net Monetary Benefit
Version: 0.2.1.9000
Authors@R: c(
    person(given = "Rex",
           family = "Parsons",
           role = c("aut", "cre"),
           email = "rex.parsons94@gmail.com",
           comment = c(ORCID = "0000-0002-6053-8174")),
    person(given = "Robin",
           family = "Blythe",
           role = "aut",
           comment = c(ORCID = "0000-0002-3643-4332")),
    person(given = "Adrian",
           family = "Barnett",
           role = "aut",
           comment = c(ORCID = "0000-0001-6339-0374")),
    person(given = "Emi",
           family = "Tanaka",
           role = "rev",
           comment = "Emi Tanaka reviewed predictNMB for rOpenSci, see
            <https://github.com/ropensci/software-review/issues/566>."),
    person(given = "Tinula",
           family = "Kariyawasam",
           role = "rev",
           comment = "Tinula Kariyawasam reviewed predictNMB for rOpenSci, see
            <https://github.com/ropensci/software-review/issues/566>."),
    person(given = "Susanna",
           family = "Cramb",
           role = "ctb",
           comment = c(ORCID = "0000-0001-9041-9531")),
    person(given = "Steven",
           family = "McPhail",
           role = "ctb",
           comment = c(ORCID = "0000-0002-1463-662X"))
  )
Description: Estimates when and where a model-guided treatment strategy may
    outperform a treat-all or treat-none approach by Monte Carlo simulation and
    evaluation of the Net Monetary Benefit. Details can be viewed in
    Parsons et al. (2023) <doi:10.21105/joss.05328>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.2
Roxygen: list (markdown = TRUE, roclets = c ("namespace", "rd", "srr::srr_stats_roclet"))
Imports:
    assertthat,
    cutpointr,
    dplyr,
    ggplot2,
    magrittr,
    pmsampsize,
    rlang,
    scales,
    stats,
    tibble,
    tidyr
Suggests:
    spelling,
    covr,
    flextable,
    knitr,
    parallel,
    pbapply,
    rmarkdown,
    testthat (>= 3.0.0),
    vdiffr,
    withr
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://docs.ropensci.org/predictNMB/
BugReports: https://github.com/ropensci/predictNMB/issues
Depends:
    R (>= 3.5.0)
Language: en-US