Package: cvms
Title: Cross-Validation for Model Selection
Version: 1.6.1
Authors@R: 
    c(person(given = "Ludvig Renbo",
             family = "Olsen",
             role = c("aut", "cre"),
             email = "r-pkgs@ludvigolsen.dk",
             comment = c(ORCID = "0009-0006-6798-7454", Twitter = "@ludvigolsen")),
      person(given = "Hugh Benjamin",
             family = "Zachariae",
             role = "aut"),
      person(given = "Indrajeet",
             family = "Patil",
             role = "ctb",
             email = "patilindrajeet.science@gmail.com",
             comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),
      person(given = "Daniel",
             family = "Lüdecke",
             role = "ctb",
             email = "d.luedecke@uke.de", 
             comment = c(ORCID = "0000-0002-8895-3206")))
Description: Cross-validate one or multiple regression and classification models
    and get relevant evaluation metrics in a tidy format. Validate the
    best model on a test set and compare it to a baseline evaluation.
    Alternatively, evaluate predictions from an external model. Currently
    supports regression and classification (binary and multiclass).
    Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., 
    & Wambugu M. (2019, ISBN: 9781838550134).
License: MIT + file LICENSE
URL: https://github.com/ludvigolsen/cvms
BugReports: https://github.com/ludvigolsen/cvms/issues
Depends:
    R (>= 3.5)
Imports:
    checkmate (>= 2.0.0),
    data.table (>= 1.12),
    dplyr (>= 0.8.5),
    ggplot2,
    groupdata2 (>= 2.0.2),
    lifecycle,
    lme4 (>= 1.1-23),
    MuMIn (>= 1.43.17),
    parameters (>= 0.15.0),
    plyr,
    pROC (>= 1.16.0),
    purrr,
    rearrr (>= 0.3.0),
    recipes (>= 0.1.13),
    rlang (>= 0.4.7),
    stats,
    stringr,
    tibble (>= 3.0.3),
    tidyr (>= 1.1.2),
    utils
Suggests: 
    AUC,
    covr (>= 3.3.1),
    e1071 (>= 1.7-2),
    furrr,
    ggimage (>= 0.3.3),
    ggnewscale (>= 0.4.3),
    knitr,
    merDeriv (>= 0.2-4),
    nnet (>= 7.3-12),
    randomForest (>= 4.6-14),
    rmarkdown,
    rsvg,
    testthat (>= 2.3.2),
    xpectr (>= 0.4.1)
VignetteBuilder: 
    knitr
RdMacros: 
    lifecycle
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
