Package {mlr3verse}

Title: Easily Install and Load the 'mlr3' Package Family
Version: 0.3.2
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at https://mlr3book.mlr-org.com/.
License: LGPL-3
URL: https://mlr3verse.mlr-org.com, https://github.com/mlr-org/mlr3verse
BugReports: https://github.com/mlr-org/mlr3verse/issues
Depends: mlr3 (≥ 0.20.0), R (≥ 3.1.0)
Imports: bbotk (≥ 1.5.0), data.table, mlr3cluster (≥ 0.1.10), mlr3data (≥ 0.9.0), mlr3filters (≥ 0.8.1), mlr3fselect (≥ 1.2.1), mlr3hyperband (≥ 0.6.0), mlr3inferr (≥ 0.1.0), mlr3learners (≥ 0.9.0), mlr3mbo (≥ 0.2.8), mlr3misc (≥ 0.16.0), mlr3pipelines (≥ 0.7.1), mlr3tuning (≥ 1.3.0), mlr3tuningspaces (≥ 0.5.2), mlr3viz (≥ 0.10.0), paradox (≥ 1.0.1)
Suggests: miesmuschel, mlr3batchmark, mlr3benchmark, mlr3db, mlr3fairness, mlr3fda, mlr3oml, mlr3proba (≥ 0.7.4), mlr3spatial, mlr3spatiotempcv, mlr3summary, mlr3torch, rush
Additional_repositories: https://mlr-org.r-universe.dev
Encoding: UTF-8
Config/roxygen2/version: 8.0.0.9000
NeedsCompilation: no
Packaged: 2026-06-22 11:40:29 UTC; marc
Author: Michel Lang ORCID iD [aut], Patrick Schratz ORCID iD [aut], Marc Becker ORCID iD [cre, aut]
Maintainer: Marc Becker <marcbecker@posteo.de>
Repository: CRAN
Date/Publication: 2026-06-22 13:20:02 UTC

mlr3verse: Easily Install and Load the 'mlr3' Package Family

Description

The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at https://mlr3book.mlr-org.com/.

Author(s)

Maintainer: Marc Becker marcbecker@posteo.de (ORCID)

Authors:

See Also

Useful links:

Print mlr3* package versions

Description

Returns the package versions of imported and suggested mlr3 packages as a data.table::data.table(). Suggested packages that are not installed are listed with version NA.

Usage

mlr3verse_info()

Examples

mlr3verse_info()

Objects exported from other packages

Description

These objects are imported from other packages. Follow the links below to see their documentation.

bbotk

mlr_terminators, trm(), trms()

data.table

as.data.table()

mlr3cluster

as_prediction_clust(), as_task_clust()

mlr3filters

flt(), flts(), mlr_filters

mlr3fselect

auto_fselector(), callback_batch_fselect(), ensemble_fselect(), extract_inner_fselect_archives(), extract_inner_fselect_results(), fs(), fselect(), fselect_nested(), fsi(), fss(), mlr_fselectors

mlr3hyperband

hyperband_budget(), hyperband_n_configs(), hyperband_schedule()

mlr3misc

clbk(), clbks(), mlr_callbacks

mlr3pipelines

%>>!%, %>>%, as_graph(), as_pipeop(), chain_graphs(), concat_graphs(), GraphLearner, gunion(), mlr_graphs, mlr_pipeops, po(), pos(), ppl(), selector_all(), selector_cardinality_greater_than(), selector_grep(), selector_intersect(), selector_invert(), selector_missing(), selector_name(), selector_none(), selector_setdiff(), selector_type(), selector_union()

mlr3tuning

auto_tuner(), callback_async_tuning(), callback_batch_tuning(), extract_inner_tuning_archives(), extract_inner_tuning_results(), mlr_tuners, ti(), ti_async(), tnr(), tnrs(), tune(), tune_nested()

mlr3tuningspaces

lts(), ltss(), mlr_tuning_spaces

mlr3viz

autoplot, fortify, plot_learner_prediction()

paradox

generate_design_grid(), generate_design_lhs(), generate_design_random(), p_dbl(), p_fct(), p_int(), p_lgl(), p_uty(), ps(), to_tune()