# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "xiacf" in publications use:' type: software license: MIT title: 'xiacf: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee''s Xi' version: 0.6.5 doi: 10.5281/zenodo.19247735 identifiers: - type: doi value: 10.32614/CRAN.package.xiacf abstract: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the univariate Xi-Autocorrelation Function (Xi-ACF), directional Xi-Cross-Correlation Function (Xi-CCF), and multivariate network evaluation matrices. The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) and Multivariate IAAFT (MIAAFT) surrogate data with strict Family-Wise Error Rate ('FWER') control via Max-statistic approaches. Methodologies are based on Chatterjee (2021) , surrogate data testing methods by Schreiber and Schmitz (1996) , and local structural identification by Watanabe (2026) . authors: - family-names: Watanabe given-names: Yasunori email: watanabe.yasunori@outlook.com preferred-citation: type: manual title: 'xiacf: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee''s Xi' authors: - family-names: Watanabe given-names: Yasunori email: watanabe.yasunori@outlook.com year: '2026' notes: R package version 0.6.5 url: https://github.com/yetanothersu/xiacf doi: 10.5281/zenodo.19247735 repository: https://yetanothersu.r-universe.dev commit: 4688f20d0d2c25e3cf45c0b87d976a084a8407a2 date-released: '2026-06-04' contact: - family-names: Watanabe given-names: Yasunori email: watanabe.yasunori@outlook.com references: - type: unpublished title: 'Differential diagnosis of nonlinearity: Integrating the BDS omnibus test with chatterjee’s xi for local structural identification' authors: - family-names: Watanabe given-names: Yasunori year: '2026' notes: SSRN Preprint url: https://ssrn.com/abstract=6829431 doi: 10.2139/ssrn.6829431