DESCRIPTION

Package: mlr3viz
Title: Visualizations for 'mlr3'
Version: 0.10.0.9000
Authors@R: c(
    person("Michel", "Lang", , "michellang@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0001-9754-0393")),
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-0748-6624")),
    person("Raphael", "Sonabend", , "raphael.sonabend.15@ucl.ac.uk", role = "aut",
           comment = c(ORCID = "0000-0001-9225-4654")),
    person("Marc", "Becker", , "marcbecker@posteo.de", role = c("cre", "aut"),
           comment = c(ORCID = "0000-0002-8115-0400")),
    person("Jakob", "Richter", , "jakob1richter@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0003-4481-5554")),
    person("Damir", "Pulatov", , "dpulatov@uwyo.edu", role = "ctb"),
    person("John", "Zobolas", , "bblodfon@gmail.com", role = "aut",
           comment = c(ORCID = "0000-0002-3609-8674"))
  )
Description: Visualization package of the 'mlr3' ecosystem. It features
    plots for mlr3 objects such as tasks, learners, predictions, benchmark
    results, tuning instances and filters via the 'autoplot()' generic of
    'ggplot2'.  The package draws plots with the 'viridis' color palette
    and applies the minimal theme. Visualizations include barplots,
    boxplots, histograms, ROC curves, and Precision-Recall curves.
License: LGPL-3
URL: https://mlr3viz.mlr-org.com, https://github.com/mlr-org/mlr3viz
BugReports: https://github.com/mlr-org/mlr3viz/issues
Depends:
    R (>= 3.1.0)
Imports:
    checkmate,
    data.table,
    ggplot2 (>= 3.3.0),
    mlr3misc (>= 0.7.0),
    scales,
    utils,
    viridis
Suggests:
    bbotk (>= 1.0.0),
    cluster,
    GGally,
    ggdendro,
    ggfortify (>= 0.4.11),
    ggparty,
    glmnet,
    knitr,
    lgr,
    mlr3 (>= 0.6.0),
    mlr3cluster,
    mlr3filters,
    mlr3fselect (>= 1.0.0),
    mlr3learners,
    mlr3tuning (>= 1.0.0),
    paradox,
    partykit,
    patchwork (>= 1.1.1),
    precrec,
    ranger,
    rpart,
    stats,
    testthat (>= 3.0.0),
    vdiffr (>= 1.0.2),
    xgboost,
    survminer,
    mlr3proba (>= 0.6.3)
Remotes:
    mlr-org/mlr3proba
Additional_repositories:
  https://mlr-org.r-universe.dev
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
    'BenchmarkResult.R'
    'Filter.R'
    'LearnerClassif.R'
    'LearnerClassifCVGlmnet.R'
    'LearnerClassifGlmnet.R'
    'LearnerClassifRpart.R'
    'LearnerClustHierarchical.R'
    'LearnerRegr.R'
    'LearnerRegrCVGlmnet.R'
    'LearnerRegrGlmnet.R'
    'LearnerRegrRpart.R'
    'LearnerSurvCoxPH.R'
    'OptimInstanceBatchSingleCrit.R'
    'Prediction.R'
    'PredictionClassif.R'
    'PredictionClust.R'
    'PredictionRegr.R'
    'ResampleResult.R'
    'Task.R'
    'TaskClassif.R'
    'TaskClust.R'
    'TaskRegr.R'
    'TuningInstanceBatchSingleCrit.R'
    'EnsembleFSResult.R'
    'as_precrec.R'
    'bibentries.R'
    'helper.R'
    'plot_learner_prediction.R'
    'reexports.R'
    'zzz.R'