Simple Variable Treatment


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Documentation for package ‘vtreat’ version 0.5.26

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vtreat-package vtreat: a package for simple variable treatment
buildEvalSets Build set partition for out-of sample evaluation.
catScore return significnace 1 variable logistic regression
designTreatmentsC Build all treatments for a data frame to predict a categorical outcome.
designTreatmentsN build all treatments for a data frame to predict a numeric outcome
designTreatmentsZ Design variable treatments with no outcome variable.
format.vtreatment Display treatment plan.
getSplitPlanAppLabels read application labels off a split plan.
kWayCrossValidation k-fold cross validation, a splitFunction in the sense of vtreat::buildEvalSets
kWayStratifiedY k-fold cross validation stratified on y, a splitFunction in the sense of vtreat::buildEvalSets
linScore Return in-sample linear stats and scaling.
makekWayCrossValidationGroupedByColumn Build a k-fold cross validation splitter, respecting (never splitting) groupingColumn.
makekWayCrossValidationOrderedByColumn Build a k-fold cross validation splitter, respecting (train always above test) orderColumn
mkCrossFrameCExperiment Run categorical cross-frame experiment.
mkCrossFrameNExperiment Run numeric cross frame experiment.
oneWayHoldout One way holdout, a splitFunction in the sense of vtreat::buildEvalSets. Doesn't respect nSplits.
prepare Apply treatments and restrict to useful variables.
print.vtreatment Print treatmentplan.
problemAppPlan check if appPlan is a good partition of 1:nRows into nSplits groups
vnames New treated variable names from a treatmentplan$treatment item.
vorig Original variable name from a treatmentplan$treatment item.
vtreat vtreat: a package for simple variable treatment