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mlr3benchmark: Analysis and Visualisation of Benchmark Experiments

Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.

Version: 0.1.6
Depends: R (≥ 3.1.0)
Imports: checkmate, data.table, ggplot2, mlr3misc, R6
Suggests: mlr3, mlr3learners, PMCMRplus, rpart, testthat, xgboost
Published: 2023-05-30
DOI: 10.32614/CRAN.package.mlr3benchmark
Author: Sonabend Raphael ORCID iD [aut], Florian Pfisterer ORCID iD [aut], Michel Lang ORCID iD [ctb], Bernd Bischl ORCID iD [ctb], Sebastian Fischer ORCID iD [cre, ctb]
Maintainer: Sebastian Fischer <sebf.fischer at gmail.com>
BugReports: https://github.com/mlr-org/mlr3benchmark/issues
License: LGPL-3
URL: https://mlr3benchmark.mlr-org.com, https://github.com/mlr-org/mlr3benchmark
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mlr3benchmark results

Documentation:

Reference manual: mlr3benchmark.pdf

Downloads:

Package source: mlr3benchmark_0.1.6.tar.gz
Windows binaries: r-devel: mlr3benchmark_0.1.6.zip, r-release: mlr3benchmark_0.1.6.zip, r-oldrel: mlr3benchmark_0.1.6.zip
macOS binaries: r-release (arm64): mlr3benchmark_0.1.6.tgz, r-oldrel (arm64): mlr3benchmark_0.1.6.tgz, r-release (x86_64): mlr3benchmark_0.1.6.tgz, r-oldrel (x86_64): mlr3benchmark_0.1.6.tgz
Old sources: mlr3benchmark archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.