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 |