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: 2.2
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
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 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

Downloads:

Reference manual: imputeR.pdf
Package source: imputeR_2.2.tar.gz
Windows binaries: r-devel: imputeR_2.2.zip, r-devel-gcc8: imputeR_2.2.zip, r-release: imputeR_2.2.zip, r-oldrel: imputeR_2.2.zip
OS X binaries: r-release: imputeR_2.2.tgz, r-oldrel: imputeR_2.2.tgz
Old sources: imputeR archive

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