pcEffect {patterncausality}R Documentation

Pattern Causality Effect Analysis

Description

Analyzes pattern causality matrices to compute and summarize the directional effects of different causality types (positive, negative, dark) between system components.

Usage

pcEffect(pcmatrix, verbose = FALSE)

Arguments

pcmatrix

An object of class "pc_matrix" containing causality matrices

verbose

Logical; whether to display computation progress (default: FALSE)

Details

Calculate Pattern Causality Effect Analysis

The function performs these key steps:

Value

An object of class "pc_effect" containing:

Related Packages

See Also

pcMatrix for generating causality matrices plot.pc_effect for visualizing causality effects

Examples


data(climate_indices)
dataset <- climate_indices[, -1]
pcmatrix <- pcMatrix(dataset, E = 3, tau = 1, 
                    metric = "euclidean", h = 1, 
                    weighted = TRUE)
effects <- pcEffect(pcmatrix)
print(effects)
plot(effects)



[Package patterncausality version 0.2.1 Index]