Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.
| Version: | 2.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | stats, utils, graphics,reshape2 |
| Suggests: | testthat,caret,glmnet,pls,Cubist,ridge,gbm,mboost,rpart,earth |
| Published: | 2020-01-20 |
| DOI: | 10.32614/CRAN.package.imputeR |
| Author: | Steffen Moritz [aut, cre], Lingbing Feng [aut], Gen Nowak [ctb], Alan. H. Welsh [ctb], Terry. J. O'Neill [ctb] |
| Maintainer: | Steffen Moritz <steffen.moritz10 at gmail.com> |
| BugReports: | https://github.com/SteffenMoritz/imputeR/issues |
| License: | GPL-3 |
| URL: | http://github.com/SteffenMoritz/imputeR |
| NeedsCompilation: | no |
| Citation: | imputeR citation info |
| Materials: | README,NEWS |
| In views: | MissingData |
| CRAN checks: | imputeR results |