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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.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).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.R CMD check related to ggplot2 variables.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.