<?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>ckchengtommy.r-universe.dev</title><link>https://ckchengtommy.r-universe.dev</link><description>Recent package updates in ckchengtommy</description><generator>R-universe</generator><image><url>https://github.com/ckchengtommy.png</url><title>R packages by ckchengtommy</title><link>https://ckchengtommy.r-universe.dev</link></image><lastBuildDate>Fri, 20 Feb 2026 14:18:22 GMT</lastBuildDate><item><title>[ckchengtommy] MultiDiscreteRNG 0.1.0</title><author>ccheng46@uic.edu (Chak Kwong (Tommy) Cheng)</author><description>Generate multivariate discrete data with generalized
Poisson, negative binomial and binomial marginal distributions
using user-specified distribution parameters and a target
correlation matrix. The method is described in Cheng and
Demirtas (2026) &lt;doi:10.48550/arXiv.2602.07707&gt;.</description><link>https://github.com/r-universe/ckchengtommy/actions/runs/26501166910</link><pubDate>Fri, 20 Feb 2026 14:18:22 GMT</pubDate><r:package>MultiDiscreteRNG</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://ckchengtommy.r-universe.dev</r:repository><r:upstream>https://github.com/ckchengtommy/multidiscreterng</r:upstream></item></channel></rss>