R: Quantifying Nonlinear Dependence and Lead-Lag Dynamics via Chatterjee's Xi

# Quantifying Nonlinear Dependence and Lead-Lag Dynamics via Chatterjee's Xi

## Documentation for package ‘xiacf’ version 0.4.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

autoplot.xi_acf | Plot Xi-ACF Comparison
autoplot.xi_ccf | Plot Directional Xi-CCF Comparison
autoplot.xi_matrix | Plot Multivariate Xi-Correlogram Matrix
compute_xi_acf_iaaft | Compute Xi-ACF for Multiple Lags (Core Engine)
compute_xi_ccf_miaaft | Compute MIAAFT-based Directional Xi-CCF
compute_xi_matrix_miaaft | Compute Pairwise Directional Xi-CCF for a Multivariate Matrix
extract_xi_acf | Extract Individual Xi-ACF from Xi-Matrix
extract_xi_ccf | Extract Individual Xi-CCF from Xi-Matrix
generate_miaaft_surrogate_cpp | Generate a Single MIAAFT Surrogate Matrix
print.xi_acf | Print method for xi_acf objects
print.xi_ccf | Print method for xi_ccf objects
print.xi_matrix | Print method for xi_matrix
run_rolling_xi_analysis | Rolling Xi-ACF Analysis
run_rolling_xi_ccf | Rolling Multivariate Xi-CCF Analysis
xi_acf | Xi-ACF Test for Time Series
xi_ccf | Directional Xi-CCF Test for Multivariate Time Series
xi_coefficient | Calculate Chatterjee's Rank Correlation Coefficient (Xi)
xi_matrix | Multivariate Xi-Correlogram Matrix
xi_test | Xi-ACF Test for Time Series