twostageSL.CV.control: Control parameters for the cross validation steps in...

Description Usage Arguments Value

View source: R/CV.control.R

Description

Control parameters for the cross validation steps in twostageSL

Usage

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twostageSL.CV.control(
  V = 10L,
  stratifyCV = FALSE,
  shuffle = TRUE,
  validRows = NULL
)

Arguments

V

Integer. Number of splits for the V-fold cross-validation step. The default is 10. In most cases, between 10 and 20 splits works well.

stratifyCV

Logical. Should the data splits be stratified by a binary response? Attempts to maintain the same ratio in each training and validation sample.

shuffle

Logical. Should the rows of X be shuffled before creating the splits.

validRows

A List. Use this to pass pre-specified rows for the sample splits. The length of the list should be V and each entry in the list should contain a vector with the row numbers of the corresponding validation sample.

Value

A list containing the control parameters


wuziyueemory/twostageSL documentation built on Oct. 19, 2020, 3:45 p.m.