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
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

Documentation:

Reference manual:

imputeR.html , imputeR.pdf

Downloads:

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 dependencies:

Reverse enhances:

miceadds

Linking:

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