NADIA: NA Data Imputation Algorithms

Package crate uniform interface for several advanced imputations missing data methods. Every available method can be used as a part of 'mlr3' pipelines whats allow easy tuning and performance evaluation. Most of the used function work separately on train and test sets ( imputation is trained on the training set and impute train data, after that imputation is again trained on test set and impute test data).

Version: 0.4.0
Depends: mlr3, mlr3pipelines, paradox
Imports: mlr3learners, missForest, missMDA, doParallel, testthat, Amelia, VIM, softImpute, missRanger, methods, mice, data.table, foreach, glmnet
Suggests: knitr, rmarkdown
Published: 2020-11-23
Author: Jan Borowski, Piotr Fic
Maintainer: Jan Borowski <janborowka7 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: NADIA results

Downloads:

Reference manual: NADIA.pdf
Vignettes: NADIA_basic_usage
Package source: NADIA_0.4.0.tar.gz
Windows binaries: r-devel: NADIA_0.4.0.zip, r-release: NADIA_0.4.0.zip, r-oldrel: NADIA_0.4.0.zip
macOS binaries: r-release: NADIA_0.4.0.tgz, r-oldrel: NADIA_0.4.0.tgz

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