fscaret v0.9.4.4

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by Jakub Szlek View Source

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.

Functions in fscaret

Name	Description
fscaret	feature selection caret
timeout	timeout
impCalc	impCalc
imputeMean	imputeMean
installPckg	installPckg
regVarImp	regVarImp
fscaret-package	Automated feature selection caret (fscaret)
dataset.test	Example testing data set
RMSE	RMSE
funcReg.all	All regression methods used
dataset.train	Example training data set
funcClass.all	Classification methods used.
requiredPackages	requiredPackages
classVarImp	classVarImp
dataPreprocess	dataPreprocess
MSE	MSE
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Vignettes of fscaret

Name
fscaret.Rnw
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Details

Type	Package
Date	2018-05-08
License	GPL-2 \| GPL-3
Packaged	2018-05-08 06:50:59 UTC; kuba
NeedsCompilation	no
Repository	CRAN
Date/Publication	2018-05-08 08:15:17 UTC

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
depends	caret , gsubfn , hmeasure , parallel , R (>= 3.1.0) , utils
Contributors	Aleksander Mendyk

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