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  "Title": "Nonlinear Dependence and Lead-Lag Analysis via Chatterjee's Xi",
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  "Description": "Computes Chatterjee's non-parametric correlation\ncoefficient for time series data. It extends the original\nmetric to time series analysis by providing the univariate\nXi-Autocorrelation Function (Xi-ACF), directional\nXi-Cross-Correlation Function (Xi-CCF), and multivariate\nnetwork evaluation matrices. The package allows users to test\nfor non-linear dependence using Iterative Amplitude Adjusted\nFourier Transform (IAAFT) and Multivariate IAAFT (MIAAFT)\nsurrogate data with strict Family-Wise Error Rate ('FWER')\ncontrol via Max-statistic approaches. Methodologies are based\non Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>,\nsurrogate data testing methods by Schreiber and Schmitz (1996)\n<doi:10.1103/PhysRevLett.77.635>, and local structural\nidentification by Watanabe (2026) <doi:10.2139/ssrn.6829431>.",
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    "xi_acf",
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    "xi_coefficient",
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    "xi_test"
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