Package: mlr3viz
Title: Visualizations for 'mlr3'
Version: 0.5.8
Authors@R: c(
    person("Michel", "Lang", , "michellang@gmail.com", role = c("cre", "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 = "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")
  )
Description: Provides visualizations for 'mlr3' objects such as tasks,
    predictions, resample results or benchmark results via the autoplot()
    generic of 'ggplot2'. The returned 'ggplot' objects are intended to
    provide sensible defaults, yet can easily be customized to create
    camera-ready figures. 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, cluster, distr6 (>= 1.6.9), factoextra, GGally,
        ggfortify (>= 0.4.11), ggparty, glmnet, knitr, lgr, mlr3 (>=
        0.6.0), mlr3cluster, mlr3filters, mlr3learners, mlr3proba (>=
        0.3.2), mlr3tuning (>= 0.9.0), paradox, partykit, patchwork (>=
        1.1.1), precrec, ranger, rpart, stats, survival, testthat (>=
        3.0.0), vdiffr (>= 1.0.2), xgboost
Config/testthat/edition: 3
Config/testthat/parallel: true
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.1.2
Collate: 'BenchmarkResult.R' 'Filter.R' 'LearnerClassifCVGlmnet.R'
        'LearnerClassifGlmnet.R' 'LearnerClassifRpart.R'
        'LearnerClustHierarchical.R' 'LearnerRegrCVGlmnet.R'
        'LearnerRegrGlmnet.R' 'LearnerRegrRpart.R'
        'OptimInstanceSingleCrit.R' 'Prediction.R'
        'PredictionClassif.R' 'PredictionClust.R' 'PredictionRegr.R'
        'PredictionSurv.R' 'ResampleResult.R' 'Task.R' 'TaskClassif.R'
        'TaskClust.R' 'TaskDens.R' 'TaskRegr.R' 'TaskSurv.R'
        'TuningInstanceSingleCrit.R' 'as_precrec.R' 'bibentries.R'
        'helper.R' 'plot_learner_prediction.R' 'reexports.R'
        'theme-mlr3.R' 'zzz.R'
Packaged: 2022-04-04 12:17:17 UTC; michel
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
  Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>),
  Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>),
  Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>),
  Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>),
  Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2022-04-04 15:40:07 UTC
Built: R 4.0.5; ; 2022-04-05 11:22:06 UTC; unix
