DESCRIPTION

Package: dcurves
Title: Decision Curve Analysis for Model Evaluation
Version: 0.5.0.9000
Authors@R: 
    c(person(given = "Daniel D.",
           family = "Sjoberg",
           role = c("aut", "cre", "cph"),
           email = "danield.sjoberg@gmail.com",
           comment = c(ORCID = "0000-0003-0862-2018")),
    person(given = "Emily",
           family = "Vertosick",
           role = "ctb",
           email = "vertosie@mskcc.org"))
Description: Diagnostic and prognostic models are typically evaluated with
    measures of accuracy that do not address clinical consequences.
    Decision-analytic techniques allow assessment of clinical outcomes,
    but often require collection of additional information may be
    cumbersome to apply to models that yield a continuous result. Decision
    curve analysis is a method for evaluating and comparing prediction
    models that incorporates clinical consequences, requires only the data
    set on which the models are tested, and can be applied to models that
    have either continuous or dichotomous results. See the following references 
    for details on the methods: Vickers (2006) <doi:10.1177/0272989X06295361>,
    Vickers (2008) <doi:10.1186/1472-6947-8-53>, 
    and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.
License: MIT + file LICENSE
URL: https://github.com/ddsjoberg/dcurves,
    https://www.danieldsjoberg.com/dcurves/
BugReports: https://github.com/ddsjoberg/dcurves/issues
Depends:
    R (>= 3.5)
Imports: 
    broom (>= 0.7.10),
    dplyr (>= 1.0.5),
    ggplot2 (>= 3.3.3),
    glue (>= 1.4.2),
    purrr (>= 0.3.4),
    rlang (>= 0.4.10),
    scales (>= 1.1.1),
    survival,
    tibble (>= 3.1.0)
Suggests: 
    broom.helpers (>= 1.15.0),
    covr (>= 3.5.1),
    gtsummary (>= 2.0.0),
    knitr (>= 1.32),
    rmarkdown (>= 2.7),
    spelling (>= 2.2),
    testthat (>= 3.0.2),
    tidyr (>= 1.1.3)
VignetteBuilder: 
    knitr
ByteCompile: true
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3