<?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>emmabbn.r-universe.dev</title><link>https://emmabbn.r-universe.dev</link><description>Recent package updates in emmabbn</description><generator>R-universe</generator><image><url>https://github.com/emmabbn.png</url><title>R packages by emmabbn</title><link>https://emmabbn.r-universe.dev</link></image><lastBuildDate>Thu, 20 Aug 2026 13:41:12 GMT</lastBuildDate><item><title>[spatial-voting-lab] sov 2.0.0</title><author>emma.bibina@uga.edu (Emma Bibina)</author><description>Calculates vote-specific and traditional Shapley-Owen
power indices (vs-SOVs and SOVs) for spatial voting games in
one to four dimensions. Evaluates voter influence through an a
posteriori analysis of relative preferences. Supports weighted
voting and various voting thresholds. Compatible with ideal
point estimates from NOMINATE, Optimal Classification, and
'MCMCpack'. The method builds on Bibina and Dougherty (2025)
&lt;doi:10.2139/ssrn.6324519&gt;.</description><link>https://github.com/r-universe/spatial-voting-lab/actions/runs/39774153399</link><pubDate>Thu, 20 Aug 2026 13:41:12 GMT</pubDate><r:package>sov</r:package><r:version>2.0.0</r:version><r:status>success</r:status><r:repository>https://spatial-voting-lab.r-universe.dev</r:repository><r:upstream>https://github.com/spatial-voting-lab/sov</r:upstream></item></channel></rss>