<?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>taf-society.r-universe.dev</title><link>https://taf-society.r-universe.dev</link><description>Recent package updates in taf-society</description><generator>R-universe</generator><image><url>https://github.com/taf-society.png</url><title>R packages by taf-society</title><link>https://taf-society.r-universe.dev</link></image><lastBuildDate>Sat, 31 Jan 2026 14:50:20 GMT</lastBuildDate><item><title>[taf-society] caretForecast 0.1.3</title><author>resul.akay@taf-society.org (Resul Akay)</author><description>Conformal time series forecasting using the caret
infrastructure. It provides access to state-of-the-art machine
learning models for forecasting applications. The
hyperparameter of each model is selected based on time series
cross-validation, and forecasting is done recursively.</description><link>https://github.com/r-universe/taf-society/actions/runs/36843839946</link><pubDate>Sat, 31 Jan 2026 14:50:20 GMT</pubDate><r:package>caretForecast</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://taf-society.r-universe.dev</r:repository><r:upstream>https://github.com/taf-society/caretforecast</r:upstream></item></channel></rss>