<?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>lonze-nb.r-universe.dev</title><link>https://lonze-nb.r-universe.dev</link><description>Recent package updates in lonze-nb</description><generator>R-universe</generator><image><url>https://github.com/lonze-nb.png</url><title>R packages by lonze-nb</title><link>https://lonze-nb.r-universe.dev</link></image><lastBuildDate>Wed, 20 May 2026 05:33:55 GMT</lastBuildDate><item><title>[lonze-nb] regcorr 0.1.0</title><author>zlin5858@163.com (Ze Lin)</author><description>Implements regression models to assess the effect of
covariates on the Pearson correlation coefficient for both
bivariate normal and bivariate binary responses. This package
provides likelihood-based inference using Newton-Raphson
estimation and bootstrap-based methods for significance
testing, featuring built-in robust handling for numerical
instabilities in extreme samples.</description><link>https://github.com/r-universe/lonze-nb/actions/runs/26940720789</link><pubDate>Wed, 20 May 2026 05:33:55 GMT</pubDate><r:package>regcorr</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://lonze-nb.r-universe.dev</r:repository><r:upstream>https://github.com/lonze-nb/regcorr</r:upstream></item></channel></rss>