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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 |
Reference manual: | imputeR.pdf |
Package source: | imputeR_2.2.tar.gz |
Windows binaries: | r-devel: imputeR_2.2.zip, r-release: imputeR_2.2.zip, r-oldrel: imputeR_2.2.zip |
macOS binaries: | r-release (arm64): imputeR_2.2.tgz, r-oldrel (arm64): imputeR_2.2.tgz, r-release (x86_64): imputeR_2.2.tgz, r-oldrel (x86_64): imputeR_2.2.tgz |
Old sources: | imputeR archive |
Reverse enhances: | miceadds |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.