crossValidatedPredictor: crossValidatedPredictor

In albertbuchard/r-pipeline: R-Pipeline for data analysis

Description

Model selection tool with K-time cross validation and final validation on preserved data.

Usage

crossValidatedPredictor(data, idVarname = NULL, dependantVariable,
  independantVariables, type = "leaveOneOut", family = "gaussian",
  kTimes = NULL, loopOverModels = T, preservedData = F, plotInfo = T,
  FTestWithRandomError = T)

Arguments

type	= "leaveOneOut"
family	= "gaussian"
kTimes	= NULL
loopOverModels	= T
preservedData	= F
plotInfo	= T
dVarname	= NULL
TestWithRandomError	= T

Note

DevStatus: one pass - utility ?/5 TODO(Albert): Discuss methodology ++ Use caret prob better

albertbuchard/r-pipeline documentation built on May 5, 2019, 6:57 p.m.