Adds a Super Learner ensemble model method (using the 'SuperLearner' package) to the 'mice' package. Laqueur, H. S., Shev, A. B., Kagawa, R. M. C. (2021) <doi:10.1093/aje/kwab271>.
Version: | 1.1.1 |
Imports: | stats, mice, SuperLearner |
Suggests: | arm, bartMachine, class, e1071, earth, extraTrees, gbm, glmnet, ipred, KernelKnn, kernlab, LogicReg, MASS, nnet, party, polspline, randomForest, ranger, rpart, speedglm, spls, xgboost |
Published: | 2022-05-04 |
DOI: | 10.32614/CRAN.package.superMICE |
Author: | Aaron B. Shev |
Maintainer: | Aaron B. Shev <abshev at ucdavis.edu> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | superMICE results [issues need fixing before 2025-09-01] |
Reference manual: | superMICE.html , superMICE.pdf |
Package source: | superMICE_1.1.1.tar.gz |
Windows binaries: | r-devel: superMICE_1.1.1.zip, r-release: superMICE_1.1.1.zip, r-oldrel: superMICE_1.1.1.zip |
macOS binaries: | r-release (arm64): superMICE_1.1.1.tgz, r-oldrel (arm64): superMICE_1.1.1.tgz, r-release (x86_64): superMICE_1.1.1.tgz, r-oldrel (x86_64): superMICE_1.1.1.tgz |
Old sources: | superMICE archive |
Please use the canonical form https://CRAN.R-project.org/package=superMICE to link to this page.