<?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>souravc1979.r-universe.dev</title><link>https://souravc1979.r-universe.dev</link><description>Recent package updates in souravc1979</description><generator>R-universe</generator><image><url>https://github.com/souravc1979.png</url><title>R packages by souravc1979</title><link>https://souravc1979.r-universe.dev</link></image><lastBuildDate>Tue, 26 Mar 2024 02:33:12 GMT</lastBuildDate><item><title>[souravc1979] PolyTree 0.0.1</title><author>souravc@stanford.edu (Sourav Chatterjee)</author><description>Given a data matrix with rows representing data vectors
and columns representing variables, produces a directed
polytree for the underlying causal structure. Based on the
algorithm developed in Chatterjee and Vidyasagar (2022)
&lt;arxiv:2209.07028&gt;. The method is fully nonparametric, making
no use of linearity assumptions, and especially useful when the
number of variables is large.</description><link>https://github.com/r-universe/souravc1979/actions/runs/37106419405</link><pubDate>Tue, 26 Mar 2024 02:33:12 GMT</pubDate><r:package>PolyTree</r:package><r:version>0.0.1</r:version><r:status>success</r:status><r:repository>https://souravc1979.r-universe.dev</r:repository><r:upstream>https://github.com/cran/PolyTree</r:upstream></item></channel></rss>