summary.pc_cv: Summary of Pattern Causality Cross Validation Results

In patterncausality: Pattern Causality Algorithm

Summary of Pattern Causality Cross Validation Results

Description

Provides a summary of the pattern causality cross-validation results. This function calculates and displays summary statistics for the cross-validation results, including sample statistics, causality statistics, and convergence.

Usage

## S3 method for class 'pc_cv'
summary(object, ...)

Arguments

object	A pc_cv object.
...	Additional arguments passed to the summary function.

Value

Invisibly returns the input object.

Examples

data(climate_indices)
X <- climate_indices$AO
Y <- climate_indices$AAO
numberset <- c(100, 150, 200)
cv_results <- pcCrossValidation(X, Y, 3, 2, "euclidean", 1, FALSE, numberset = numberset)
summary(cv_results)

patterncausality documentation built on April 3, 2025, 6:57 p.m.