stackPred: Predict a new set of data using a caretStack model.

In kforthman/caretStack: Stacks models from the caret package to create a more robust prediction

Description

Supports classification and regression. Note: only continuous variables are expected to be used as predictors. It is assumed that there are a sufficient number of subjects in each category.

Usage

stackPred(
  data,
  resp.var,
  nRep,
  nFolds.outer,
  dir.path,
  file.root,
  stack.method = "wt.avg"
)

Arguments

data	The data frame containing the training set.
resp.var	Variable to predict.
nRep	Number of times nCV is repeated.
nFolds.outer	Number of outer folds
dir.path	Directory where the CV data is stored. Example: "Output/rNCV/"
file.root	Prefix for the CV filenames.

kforthman/caretStack documentation built on June 21, 2021, 8:38 a.m.