mlr3filters: Filter Based Feature Selection for 'mlr3'

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.

Version:	0.9.0
Depends:	R (≥ 3.1.0)
Imports:	backports, checkmate, cli, data.table, mlr3 (≥ 0.12.0), mlr3misc (≥ 0.18.0), paradox, R6
Suggests:	Boruta, care, caret, carSurv, FSelectorRcpp, knitr, lgr, mlr3learners, mlr3measures, mlr3pipelines, praznik, rpart, survival, testthat (≥ 3.0.0), withr
Published:	2025-09-12
DOI:	10.32614/CRAN.package.mlr3filters
Author:	Marc Becker [cre, aut], Patrick Schratz [aut], Michel Lang [aut], Bernd Bischl [aut], Martin Binder [aut], John Zobolas [aut]
Maintainer:	Marc Becker <marcbecker at posteo.de>
BugReports:	https://github.com/mlr-org/mlr3filters/issues
License:	LGPL-3
URL:	https://mlr3filters.mlr-org.com, https://github.com/mlr-org/mlr3filters
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	mlr3filters results

Documentation:

Reference manual:

mlr3filters.html , mlr3filters.pdf

Downloads:

Package source:	mlr3filters_0.9.0.tar.gz
Windows binaries:	r-devel: mlr3filters_0.9.0.zip, r-release: mlr3filters_0.9.0.zip, r-oldrel: mlr3filters_0.9.0.zip
macOS binaries:	r-release (arm64): mlr3filters_0.9.0.tgz, r-oldrel (arm64): mlr3filters_0.9.0.tgz, r-release (x86_64): mlr3filters_0.9.0.tgz, r-oldrel (x86_64): mlr3filters_0.9.0.tgz
Old sources:	mlr3filters archive

Reverse dependencies:

Reverse imports:	mlr3verse, sense
Reverse suggests:	mlr3pipelines, mlr3spatiotempcv, mlr3viz

Linking:

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