DESCRIPTION

Type: Package
Package: splendid
Title: SuPervised Learning ENsemble for Diagnostic IDentification
Version: 0.4.1
Date: 2024-02-20
Authors@R: c(
    person("Derek", "Chiu", , "dchiu@bccrc.ca", role = c("aut", "cre")),
    person("Aline", "Talhouk", , "atalhouk@bccrc.ca", role = "aut"),
    person("Dustin", "Johnson", , "djohnson@bccrc.ca", role = "aut")
  )
Description: Provides a bootstrapping and ensemble framework for
    supervised learning analyses using multiclass classification
    algorithms for modelling, prediction, and evaluation. Predicted
    classes are evaluated under metrics such as log loss, AUC, F1-score,
    Matthew's correlation coefficient, and accuracy. Discrimination and
    reliability plots visualize the classifier performances. The .632+
    estimator is implemented for the log loss error rate.
License: MIT + file LICENSE
URL: https://github.com/AlineTalhouk/splendid,
    https://alinetalhouk.github.io/splendid/
BugReports: https://github.com/AlineTalhouk/splendid/issues
Depends: 
    R (>= 4.1.0)
Imports: 
    cli,
    dplyr,
    forcats,
    ggplot2,
    grDevices,
    kernlab,
    magrittr,
    multiROC,
    performanceEstimation,
    purrr,
    RankAggreg,
    rlang,
    rsample,
    tibble,
    tidyr,
    vip,
    yardstick
Suggests: 
    adabag,
    caret,
    covr,
    DiagrammeR,
    e1071,
    fastshap,
    glmnet,
    knitr,
    maboost,
    MASS,
    nnet,
    pamr,
    randomForest,
    rmarkdown,
    sda,
    testthat (>= 2.1.0),
    xgboost
VignetteBuilder: 
    knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1