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mlr3benchmark  

Analysis and Visualisation of Benchmark Experiments
View on CRAN: Click here


Download and install mlr3benchmark package within the R console
Install from CRAN:
install.packages("mlr3benchmark")

Install from Github:
library("remotes")
install_github("cran/mlr3benchmark")

Install by package version:
library("remotes")
install_version("mlr3benchmark", "0.1.7")



Attach the package and use:
library("mlr3benchmark")
Maintained by
Sebastian Fischer
[Scholar Profile | Author Map]
First Published: 2020-11-19
Latest Update: 2023-05-30
Description:
Implements methods for post-hoc analysis and visualisation of benchmark experiments, for 'mlr3' and beyond.
How to cite:
Sebastian Fischer (2020). mlr3benchmark: Analysis and Visualisation of Benchmark Experiments. R package version 0.1.7, https://cran.r-project.org/web/packages/mlr3benchmark. Accessed 14 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-11-19 10:10), 0.1.1 (2020-12-16 13:20), 0.1.2 (2021-04-19 17:20), 0.1.3 (2021-10-04 17:30), 0.1.4 (2022-10-10 20:50), 0.1.5 (2023-03-14 07:20), 0.1.6 (2023-05-30 10:30)
Other packages that cited mlr3benchmark R package
View mlr3benchmark citation profile
Other R packages that mlr3benchmark depends, imports, suggests or enhances
Complete documentation for mlr3benchmark
Functions, R codes and Examples using the mlr3benchmark R package
Some associated functions: BenchmarkAggr . as.BenchmarkAggr . as_benchmark_aggr . autoplot.BenchmarkAggr . mlr3benchmark-package . requireNamespaces . 
Some associated R codes: BenchmarkAggr.R . autoplot.BenchmarkAggr.R . bibentries.R . helpers.R . plots_cd.R . zzz.R .  Full mlr3benchmark package functions and examples
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