<?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>novidu.r-universe.dev</title><link>https://novidu.r-universe.dev</link><description>Recent package updates in novidu</description><generator>R-universe</generator><image><url>https://github.com/novidu.png</url><title>R packages by novidu</title><link>https://novidu.r-universe.dev</link></image><lastBuildDate>Sun, 04 Jan 2026 08:09:13 GMT</lastBuildDate><item><title>[novidu] giniCI 0.1.3</title><author>viet-duong.nguyen@outlook.com (Viet Duong Nguyen)</author><description>An implementation of Gini-based weighting approaches in
constructing composite indicators, providing functionalities
for normalization, aggregation, and ranking comparison.</description><link>https://github.com/r-universe/novidu/actions/runs/36834744398</link><pubDate>Sun, 04 Jan 2026 08:09:13 GMT</pubDate><r:package>giniCI</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://novidu.r-universe.dev</r:repository><r:upstream>https://github.com/novidu/ginici</r:upstream><r:article><r:source>giniCI.pdf.asis</r:source><r:filename>giniCI.pdf</r:filename><r:title>Gini-based Composite Indicators</r:title><r:created>2025-11-19 00:03:47</r:created><r:modified>2025-11-19 00:03:47</r:modified></r:article></item></channel></rss>