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 Williams [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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