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: | 2.1 |
Depends: | R (≥ 3.1.0) |
Imports: | stats, utils, graphics, reshape2 |
Suggests: | testthat, rda, caret, glmnet, pls, Cubist, ridge, gbm, mboost, rpart, earth |
Published: | 2018-10-14 |
Author: | Steffen Moritz |
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 |
CRAN checks: | imputeR results |
Reference manual: | imputeR.pdf |
Package source: | imputeR_2.1.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: imputeR_2.1.zip |
OS X binaries: | r-release: imputeR_2.1.tgz, r-oldrel: imputeR_2.1.tgz |
Old sources: | imputeR archive |
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