smartdata: Data Preprocessing

Eases data preprocessing tasks, providing a data flow based on a pipe operator which eases cleansing, transformation, oversampling, or instance/feature selection operations.

Version: 1.0.3
Depends: R (≥ 3.5.0), mice (≥ 2.46.0)
Imports: functional, checkmate, magrittr, infotheo, MVN, adaptiveGPCA, discretization, outliers, NoiseFiltersR, Boruta, FSelector, lle, unbalanced, RoughSets, class, clusterSim, Amelia, imbalance, DMwR, missForest, missMDA, denoiseR, VIM
Suggests: testthat, mlbench, rpart, knitr, rmarkdown
Published: 2019-12-18
Author: Ignacio Cordón [aut, cre], Francisco Charte [aut], Julián Luengo [aut], Salvador García [aut], Francisco Herrera [aut]
Maintainer: Ignacio Cordón <nacho.cordon.castillo at gmail.com>
BugReports: http://github.com/ncordon/smartdata/issues
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL: http://github.com/ncordon/smartdata
NeedsCompilation: no
Citation: smartdata citation info
Materials: README NEWS
CRAN checks: smartdata results

Downloads:

Reference manual: smartdata.pdf
Vignettes: Using smartdata
Contributing to smartdata
Package source: smartdata_1.0.3.tar.gz
Windows binaries: r-devel: smartdata_1.0.3.zip, r-release: smartdata_1.0.3.zip, r-oldrel: smartdata_1.0.3.zip
macOS binaries: r-release: smartdata_1.0.3.tgz, r-oldrel: smartdata_1.0.3.tgz
Old sources: smartdata archive

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