<?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>cambridgesportsanalytics.r-universe.dev</title><link>https://cambridgesportsanalytics.r-universe.dev</link><description>Recent package updates in cambridgesportsanalytics</description><generator>R-universe</generator><image><url>https://github.com/cambridgesportsanalytics.png</url><title>R packages by cambridgesportsanalytics</title><link>https://cambridgesportsanalytics.r-universe.dev</link></image><lastBuildDate>Mon, 05 Oct 2026 21:47:49 GMT</lastBuildDate><item><title>[cambridgesportsanalytics] rbpengine 2.4.0</title><author>ckulasekaran@csanalytics.io (Cel Kulasekaran)</author><description>Provides predict_psr(), predict_maxfit(), and
predict_grid() for relevance-based prediction ('RBP') via the
'RBP Math Engine' C application binary interface ('ABI').
Returns a 'PredictionResults' nested list that mirrors the
'Python' 'rbp_engine' package. The package builds and installs
without the private engine; prediction and insight entry points
load the engine at runtime ('RBP_ENGINE_LIB' or a staged
install under 'RBP_ENGINE_HOME' / /Library/rbp-engine).
Licensing uses 'rbp-license-info' and standard license
environment variables.</description><link>https://github.com/r-universe/cambridgesportsanalytics/actions/runs/37593523191</link><pubDate>Mon, 05 Oct 2026 21:47:49 GMT</pubDate><r:package>rbpengine</r:package><r:version>2.4.0</r:version><r:status>success</r:status><r:repository>https://cambridgesportsanalytics.r-universe.dev</r:repository><r:upstream>https://github.com/CambridgeSportsAnalytics/rbp-engine-r</r:upstream></item></channel></rss>