Super Learner Fitting and Prediction [R package mlr3superlearner version 0.1.2]

Nicholas Williams

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年09月17日

DOI: 10.32614/CRAN.package.mlr3superlearner

Author: Nicholas Williams ORCID 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:

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