R/funcReg.all.R

#  All functions are used for regression problems
#  funcRegPred <- c("glm", "glmStepAIC","gam","rpart","rpart2","ctree","ctree2","evtree","obliqueTree",
# "gbm", "blackboost","bstTree","glmboost","gamboost","bstLs","bstSm","rf","parRF","cforest","Boruta","RRFglobal","RRF",
# "treebag","bag","logicBag","bagEarth","nodeHarvest","partDSA","earth","gcvEarth","logreg","glmnet", "nnet","mlp","mlpWeightDecay",
# "pcaNNet", "avNNet","rbf","pls","kernelpls","simpls","widekernelpls","spls", "svmLinear", "svmRadial", "svmRadialCost", "svmPoly",
# "gaussprLinear", "gaussprRadial", "gaussprPoly", "knn", "xyf", "bdk","lm", "lmStepAIC","leapForward", "leapBackward","leapSeq",
# "pcr", "icr", "rlm", "neuralnet", "qrf","qrnn","M5Rules","M5","cubist", "ppr","penalized","ridge","lars","lars2","enet","lasso",
#  "relaxo","foba","krlsRadial","krlsPoly","rvmLinear","rvmRadial","rvmPoly","superpc")

funcRegPred <- c( 
"ANFIS",
"avNNet",
"bag",
"bagEarth",
"bayesglm",
"bdk",
"blackboost",
"Boruta",
"bstLs",
"bstSm",
"bstTree",
"cforest",
"ctree",
"ctree2",
"cubist",
"DENFIS",
"dnn",
"earth",
"elm",
"enet",
"evtree",
"extraTrees",
"FIR.DM",
"foba",
"FS.HGD",
"gam",
"gamboost",
"gamLoess",
"gamSpline",
"gaussprLinear",
"gaussprPoly",
"gaussprRadial",
"gbm",
"gcvEarth",
"GFS.FR.MOGAL",
"GFS.LT.RS",
"GFS.Thrift",
"glm",
"glmboost",
"glmnet",
"glmStepAIC",
"HYFIS",
"icr",
"kernelpls",
"kknn",
"knn",
"krlsPoly",
"krlsRadial",
"lars",
"lars2",
"lasso",
"leapBackward",
"leapForward",
"leapSeq",
"lm",
"lmStepAIC",
"logicBag",
"logreg",
"M5",
"M5Rules",
"mlp",
"mlpWeightDecay",
"neuralnet",
"nnet",
"nodeHarvest",
"parRF",
"partDSA",
"pcaNNet",
"pcr",
"penalized",
"pls",
"plsRglm",
"ppr",
"qrf",
"qrnn",
"rbfDDA",
"relaxo",
"rf",
"ridge",
"rknn",
"rknnBel",
"rlm",
"rpart",
"rpart2",
"RRF",
"RRFglobal",
"rvmLinear",
"rvmPoly",
"rvmRadial",
"SBC",
"simpls",
"spls",
"superpc",
"svmBoundrangeString",
"svmExpoString",
"svmLinear",
"svmPoly",
"svmRadial",
"svmRadialCost",
"svmSpectrumString",
"treebag",
"widekernelpls",
"WM",
"xyf"
)

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fscaret documentation built on May 2, 2019, 10:15 a.m.