aggregateCVSingle: Aggregate and Save Cross-validation Result for Single-omics...

aggregateCVSingleR Documentation

Aggregate and Save Cross-validation Result for Single-omics Analysis

Description

Saves cross-validation results in a table with the user-defined directory and outputs penalty term with the highest testing canonical correlation, lowest prediction error, and lowest scaled prediction error.

Usage

aggregateCVSingle(CVDir, SCCAmethod = "SmCCA", K = 5, NumSubsamp = 500)

Arguments

CVDir

A directory where the result is stored.

SCCAmethod

The canonical correlation analysis method that is used in the model, used to name cross-validation table file, default is set to 'SmCCA'.

K

number of folds for cross-validation.

NumSubsamp

Number of subsampling used.

Value

A vector of length 3 with indices of the penalty term that (1) maximize the testing canonical correlation, (2) minimize the prediction error and (3) minimize the scaled prediction error.


SmCCNet documentation built on May 29, 2024, 10:49 a.m.