<?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>pierdutt.r-universe.dev</title><link>https://pierdutt.r-universe.dev</link><description>Recent package updates in pierdutt</description><generator>R-universe</generator><image><url>https://github.com/pierdutt.png</url><title>R packages by pierdutt</title><link>https://pierdutt.r-universe.dev</link></image><lastBuildDate>Sun, 27 Jul 2025 22:22:33 GMT</lastBuildDate><item><title>[pierdutt] cmgnd 0.1.1</title><author>pierdomenico.duttilo@unipd.it (Pierdomenico Duttilo)</author><description>The 'cmgnd' implements the constrained mixture of
generalized normal distributions model, a flexible statistical
framework for modelling univariate data exhibiting non-normal
features such as skewness, multi-modality, and heavy tails. By
imposing constraints on model parameters, the 'cmgnd' reduces
estimation complexity while maintaining high descriptive power,
offering an efficient solution in the presence of
distributional irregularities. For more details see Duttilo and
Gattone (2025) &lt;doi:10.1007/s00180-025-01638-x&gt; and Duttilo et
al (2025) &lt;doi:10.48550/arXiv.2506.03285&gt;.</description><link>https://github.com/r-universe/pierdutt/actions/runs/26354495840</link><pubDate>Sun, 27 Jul 2025 22:22:33 GMT</pubDate><r:package>cmgnd</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://pierdutt.r-universe.dev</r:repository><r:upstream>https://github.com/pierdutt/cmgnd</r:upstream></item></channel></rss>