fscaret: Automated Feature Selection from 'caret'

Automated feature selection using variety of models provided by 'caret' package. This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012.

Version: 0.9.4.4
Depends: R (≥ 3.1.0), caret, gsubfn, hmeasure, utils, parallel
Suggests: ada, arm, Boruta, bst, C50, car, caTools, class, Cubist, e1071, earth (≥ 2.2-3), elasticnet, ellipse, evtree, extraTrees, fastICA, foba, gam, gbm (≥ 2.1), glmnet (≥ 1.8), hda, HDclassif, Hmisc, ipred, kernlab, kknn, klaR, kohonen, KRLS, lars, leaps, LogicReg, MASS, mboost, mda, mgcv, mlbench, neuralnet, nnet, nodeHarvest, obliqueRF, pamr, partDSA, party (≥ 0.9-99992), penalized, penalizedLDA, pls, pROC, proxy, qrnn, quantregForest, randomForest, RANN, relaxo, rFerns, rocc, rpart, rrcov, RRF, rrlda, RSNNS, RWeka (≥ 0.4-1), sda, sparseLDA (≥ 0.1-1), spls, stepPlr, superpc
Published: 2018-05-08
Author: Jakub Szlek [aut, cre], Aleksander Mendyk [ctb]
Maintainer: Jakub Szlek <j.szlek at uj.edu.pl>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: fscaret citation info
Materials: NEWS
CRAN checks: fscaret results

Documentation:

Reference manual: fscaret.pdf
Vignettes: A short fscaret package introduction with examples

Downloads:

Package source: fscaret_0.9.4.4.tar.gz
Windows binaries: r-devel: fscaret_0.9.4.4.zip, r-release: fscaret_0.9.4.4.zip, r-oldrel: fscaret_0.9.4.4.zip
macOS binaries: r-release (arm64): fscaret_0.9.4.4.tgz, r-oldrel (arm64): fscaret_0.9.4.4.tgz, r-release (x86_64): fscaret_0.9.4.4.tgz, r-oldrel (x86_64): fscaret_0.9.4.4.tgz
Old sources: fscaret archive

Linking:

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