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Creates a uniform interface for several advanced imputations missing data methods. Every available method can be used as a part of 'mlr3' pipelines which allows easy tuning and performance evaluation. Most of the used functions work separately on the training and test sets (imputation is trained on the training set and impute training data. After that imputation is again trained on the test set and impute test data).
Version: | 0.4.2 |
Depends: | R (≥ 3.5.0), mlr3, mlr3pipelines, paradox |
Imports: | missForest, missMDA, doParallel, testthat, mlr3learners, rpart, glmnet, Amelia, VIM, softImpute, missRanger, methods, mice, data.table, foreach |
Suggests: | knitr, rmarkdown, kableExtra, magrittr |
Published: | 2022-10-02 |
Author: | Jan Borowski, Piotr Fic |
Maintainer: | Jan Borowski <janborowka7 at gmail.com> |
BugReports: | https://github.com/ModelOriented/EMMA/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | no |
In views: | MissingData |
CRAN checks: | NADIA results |
Reference manual: | NADIA.pdf |
Vignettes: |
Errors Statistic and Handling NADIA examples and motivation |
Package source: | NADIA_0.4.2.tar.gz |
Windows binaries: | r-devel: NADIA_0.4.2.zip, r-release: NADIA_0.4.2.zip, r-oldrel: NADIA_0.4.2.zip |
macOS binaries: | r-release (arm64): NADIA_0.4.2.tgz, r-oldrel (arm64): NADIA_0.4.2.tgz, r-release (x86_64): NADIA_0.4.2.tgz, r-oldrel (x86_64): NADIA_0.4.2.tgz |
Old sources: | NADIA archive |
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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.
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