xiacf 0.4.0

New Features

• Multivariate Network Analysis: Added xi_matrix() to compute directional Chatterjee’s Xi and significance thresholds across all pairs in a multivariate dataset simultaneously, powered by a highly optimized n-dimensional MIAAFT C++ engine.
• Dynamic Significance Levels: Added the sig_level argument to xi_acf(), xi_ccf(), and xi_matrix(), as well as their rolling window counterparts. Users can now easily adjust the hypothesis testing threshold (e.g., 0.95 to 0.99).

UI/UX Improvements

• Enhanced Autoplot Aesthetics: The autoplot() methods for all functions have been unified. Statistically significant points (exceeding the dynamic threshold) are now elegantly highlighted with filled red triangles, while non-significant points remain as empty triangles.

Bug Fixes & Under the Hood

• Resolved NSE (Non-Standard Evaluation) notes in R CMD check related to ggplot2 variables.