Package: NADIA
Type: Package
Title: NA Data Imputation Algorithms
Version: 0.4.1
Author: Jan Borowski, Piotr Fic
Maintainer: Jan Borowski <janborowka7@gmail.com>
Description: 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).
License: GPL
Depends: R (>= 3.5.0), mlr3, mlr3pipelines, paradox
Imports: mlr3learners, missForest, missMDA, doParallel, testthat,
        Amelia, VIM, softImpute, missRanger, methods, mice, data.table,
        foreach, glmnet
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1.9000
BugReports: https://github.com/ModelOriented/EMMA/issues
Suggests: knitr, rmarkdown, kableExtra, magrittr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-05 18:26:30 UTC; 48501
Repository: CRAN
Date/Publication: 2021-01-06 15:00:05 UTC
Built: R 3.6.2; ; 2021-01-07 11:42:06 UTC; unix
