<?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>lsq0000.r-universe.dev</title><link>https://lsq0000.r-universe.dev</link><description>Recent package updates in lsq0000</description><generator>R-universe</generator><image><url>https://github.com/lsq0000.png</url><title>R packages by lsq0000</title><link>https://lsq0000.r-universe.dev</link></image><lastBuildDate>Sat, 23 Aug 2025 04:05:33 GMT</lastBuildDate><item><title>[lsq0000] GRANDpriv 0.1.3</title><author>liusuqing0123@uchicago.edu (Suqing Liu)</author><description>Implements a novel method for privatizing network data
using differential privacy. Provides functions for generating
synthetic networks based on LSM (Latent Space Model), applying
differential privacy to network latent positions to achieve
overall network privatization, and evaluating the utility of
privatized networks through various network statistics. The
privatize and evaluate functions support both LSM and RDPG
(Random Dot Product Graph). For generating RDPG networks, users
are encouraged to use the 'randnet' package
&lt;https://CRAN.R-project.org/package=randnet&gt;. For more details,
see the &quot;proposed method&quot; section of Liu, Bi, and Li (2025)
&lt;doi:10.48550/arXiv.2507.00402&gt;.</description><link>https://github.com/r-universe/lsq0000/actions/runs/26150745808</link><pubDate>Sat, 23 Aug 2025 04:05:33 GMT</pubDate><r:package>GRANDpriv</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://lsq0000.r-universe.dev</r:repository><r:upstream>https://github.com/lsq0000/grandpriv</r:upstream></item></channel></rss>