<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>yetanothersu.r-universe.dev</title><link>https://yetanothersu.r-universe.dev</link><description>Recent package updates in yetanothersu</description><generator>R-universe</generator><image><url>https://github.com/yetanothersu.png</url><title>R packages by yetanothersu</title><link>https://yetanothersu.r-universe.dev</link></image><lastBuildDate>Thu, 04 Jun 2026 14:53:48 GMT</lastBuildDate><item><title>[yetanothersu] xiacf 0.6.5</title><author>watanabe.yasunori@outlook.com (Yasunori Watanabe)</author><description>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) &lt;doi:10.1080/01621459.2020.1758115&gt;,
surrogate data testing methods by Schreiber and Schmitz (1996)
&lt;doi:10.1103/PhysRevLett.77.635&gt;, and local structural
identification by Watanabe (2026) &lt;doi:10.2139/ssrn.6829431&gt;.</description><link>https://github.com/r-universe/yetanothersu/actions/runs/26966555886</link><pubDate>Thu, 04 Jun 2026 14:53:48 GMT</pubDate><r:package>xiacf</r:package><r:version>0.6.5</r:version><r:status>success</r:status><r:repository>https://yetanothersu.r-universe.dev</r:repository><r:upstream>https://github.com/yetanothersu/xiacf</r:upstream></item></channel></rss>