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mlr3superlearner: Super Learner Fitting and Prediction

An implementation of the Super Learner prediction algorithm from van der Laan, Polley, and Hubbard (2007) <doi:10.2202/1544-6115.1309 using the 'mlr3' framework.

Version:0.1.2
Depends:mlr3learners
Imports:checkmate,lgr,mlr3,data.table,purrr,cli,glmnet
Suggests:ranger,testthat (≥ 3.0.0)
Published:2024-09-17
DOI:10.32614/CRAN.package.mlr3superlearner
Author:Nicholas WilliamsORCID iD [aut, cre, cph]
Maintainer:Nicholas Williams <ntwilliams.personal at gmail.com>
License:GPL (≥ 3)
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:mlr3superlearner results

Documentation:

Reference manual:mlr3superlearner.html ,mlr3superlearner.pdf

Downloads:

Package source: mlr3superlearner_0.1.2.tar.gz
Windows binaries: r-devel:mlr3superlearner_0.1.2.zip, r-release:mlr3superlearner_0.1.2.zip, r-oldrel:mlr3superlearner_0.1.2.zip
macOS binaries: r-release (arm64):mlr3superlearner_0.1.2.tgz, r-oldrel (arm64):mlr3superlearner_0.1.2.tgz, r-release (x86_64):mlr3superlearner_0.1.2.tgz, r-oldrel (x86_64):mlr3superlearner_0.1.2.tgz
Old sources: mlr3superlearner archive

Reverse dependencies:

Reverse imports:crumble,transportr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=mlr3superlearnerto link to this page.


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