mlr3inferr: Inference on the Generalization Error

An 'mlr3' extension that provides various resampling-based confidence interval (CI) methods for estimating the generalization error. These CI methods are implemented as 'mlr3' measures, enabling the evaluation of individual algorithms on specific tasks as well as the comparison of different learning algorithms.

Version: 0.1.0
Depends: mlr3, R (≥ 3.1.0)
Imports: checkmate, data.table, future, lgr, mlr3measures, mlr3misc, paradox, R6, withr
Suggests: rpart, testthat (≥ 3.0.0)
Published: 2025-01-13
DOI: 10.32614/CRAN.package.mlr3inferr
Author: Sebastian Fischer ORCID iD [cre, aut], Hannah Schulz-Kümpel ORCID iD [aut]
Maintainer: Sebastian Fischer <sebf.fischer at gmail.com>
BugReports: https://github.com/mlr-org/mlr3inferr/issues
License: LGPL-3
URL: https://mlr3inferr.mlr-org.com, https://github.com/mlr-org/mlr3inferr
NeedsCompilation: no
Materials: README
In views: MachineLearning
CRAN checks: mlr3inferr results

Documentation:

Reference manual: mlr3inferr.html , mlr3inferr.pdf

Downloads:

Package source: mlr3inferr_0.1.0.tar.gz
Windows binaries: r-devel: mlr3inferr_0.1.0.zip, r-release: mlr3inferr_0.1.0.zip, r-oldrel: mlr3inferr_0.1.0.zip
macOS binaries: r-release (arm64): mlr3inferr_0.1.0.tgz, r-oldrel (arm64): mlr3inferr_0.1.0.tgz, r-release (x86_64): mlr3inferr_0.1.0.tgz, r-oldrel (x86_64): mlr3inferr_0.1.0.tgz

Reverse dependencies:

Reverse imports: mlr3verse
Reverse suggests: mlr3viz

Linking:

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