imputeR: A General Multivariate Imputation Framework

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 ORCID iD [aut, cre], Lingbing Feng [aut], Gen Nowak [ctb], Alan. H. Welsh [ctb], Terry. J. O'Neill [ctb]
Maintainer: Steffen Moritz <steffen.moritz10 at>
License: GPL-3
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:
OS X binaries: r-release: imputeR_2.1.tgz, r-oldrel: imputeR_2.1.tgz
Old sources: imputeR archive


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