The missSuperLearner R package implements a version of the super learning
algorithm that handles missing data while identifying the best algorithm in a
library, or the best combination of algorithms in the library, where the said
library consists of several super learners.
The package is developed by P. Zhao (Inria), N. Gatulle (La Pitié Salpétrière, APHP), J. Josse (Inria) and A. Chambaz (Université Paris Cité).
The main function of the package are missSuperLearner() and
CV.missSuperLearner().
> library("missSuperLearner")
> example(missSuperLearner)To cite the package, see
> citation("missSuperLearner")
> toBibtex(citation("missSuperLearner"))Both a stable version and a development version are available via GitHub and can be installed in R as:
devtools::install_github("panzhaooo/missSuperLearner", ref = "main")or
devtools::install_github("panzhaooo/missSuperLearner", ref = "develop")