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mlr3filters
View on CRAN: Click
here
Download and install mlr3filters package within the R console
Install from CRAN:
install.packages("mlr3filters")
Install from Github:
library("remotes")
install_github("cran/mlr3filters") Install by package version:
library("remotes")
install_version("mlr3filters", "0.9.0") Attach the package and use:
library("mlr3filters")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-04
Latest Update: 2024-11-08
Description:
Extends 'mlr3' with filter methods for feature selection.
Besides standalone filter methods built-in methods of any
machine-learning algorithm are supported. Partial scoring of
multivariate filter methods is supported.
How to cite:
Marc Becker (2019). mlr3filters: Filter Based Feature Selection for 'mlr3'. R package version 0.9.0, https://cran.r-project.org/web/packages/mlr3filters. Accessed 12 Jun. 2026.
Previous versions and publish date:
0.1.0 (2019-09-04 10:30), 0.1.1 (2019-12-08 14:40), 0.2.0 (2020-03-12 13:40), 0.3.0 (2020-07-18 11:30), 0.4.0 (2020-11-10 23:40), 0.4.1 (2021-03-08 09:30), 0.4.2 (2021-07-12 17:50), 0.5.0 (2022-01-25 17:32), 0.6.0 (2022-09-02 20:40), 0.7.0 (2023-01-06 19:50), 0.7.1 (2023-02-15 22:20), 0.8.0 (2024-04-10 19:10), 0.8.1 (2024-11-08 12:30), 0.9.0 (2025-09-12 15:10)
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Other R packages that mlr3filters depends,
imports, suggests or enhances
Complete documentation for mlr3filters
Functions, R codes and Examples using
the mlr3filters R package
Some associated functions: Filter . flt . mlr3filters-package . mlr_filters . mlr_filters_anova . mlr_filters_auc . mlr_filters_carscore . mlr_filters_carsurvscore . mlr_filters_cmim . mlr_filters_correlation . mlr_filters_disr . mlr_filters_find_correlation . mlr_filters_importance . mlr_filters_information_gain . mlr_filters_jmi . mlr_filters_jmim . mlr_filters_kruskal_test . mlr_filters_mim . mlr_filters_mrmr . mlr_filters_njmim . mlr_filters_performance . mlr_filters_permutation . mlr_filters_relief . mlr_filters_selected_features . mlr_filters_variance . reexports .
Some associated R codes: Filter.R . FilterAUC.R . FilterAnova.R . FilterCMIM.R . FilterCarScore.R . FilterCarSurvScore.R . FilterCorrelation.R . FilterDISR.R . FilterFindCorrelation.R . FilterImportance.R . FilterInformationGain.R . FilterJMI.R . FilterJMIM.R . FilterKruskalTest.R . FilterMIM.R . FilterMRMR.R . FilterNJMIM.R . FilterPerformance.R . FilterPermutation.R . FilterRelief.R . FilterSelectedFeatures.R . FilterVariance.R . bibentries.R . flt.R . helper.R . mlr_filters.R . reexports.R . zzz.R . Full mlr3filters package functions and examples
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