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

Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the Xi-Autocorrelation Function (Xi-ACF) and Xi-Cross-Correlation Function (Xi-CCF). The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) surrogate data. Main functions include xi_acf() and xi_ccf() for computation, along with matrix extraction tools. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115> and surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>.

Version: 0.4.0
Imports: dplyr (≥ 1.1.4), doFuture, foreach, future, ggplot2 (≥ 4.0.1), latex2exp, progressr, Rcpp (≥ 1.1.0), stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.3.2)
Published: 2026-04-16
DOI: 10.32614/CRAN.package.xiacf (may not be active yet)
Author: Yasunori Watanabe [aut, cre]
Maintainer: Yasunori Watanabe <watanabe.yasunori at outlook.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: xiacf citation info
Materials: README, NEWS
CRAN checks: xiacf results

Documentation:

Reference manual: xiacf.html , xiacf.pdf

Downloads:

Package source: xiacf_0.4.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=xiacf to link to this page.

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.
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