<?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>cfs-treering.r-universe.dev</title><link>https://cfs-treering.r-universe.dev</link><description>Recent package updates in cfs-treering</description><generator>R-universe</generator><image><url>https://github.com/cfs-treering.png</url><title>R packages by cfs-treering</title><link>https://cfs-treering.r-universe.dev</link></image><lastBuildDate>Sun, 31 May 2026 12:05:39 GMT</lastBuildDate><item><title>[cfs-treering] growthTrendR 0.3.0.9000</title><author>xiaojing.guo@nrcan-rncan.gc.ca (Xiao Jing Guo)</author><description>Offers tools for data formatting, anomaly detection, and
classification of tree-ring data using spatial comparisons and
cross-correlation. Supports flexible detrending and
climate–growth modeling via generalized additive mixed models
(Wood 2017, ISBN:978-1498728331) and the 'mgcv' package
(&lt;https://CRAN.R-project.org/package=mgcv&gt;), enabling robust
analysis of non-linear trends and autocorrelated data. Provides
standardized visual reporting, including summaries,
diagnostics, and model performance. Compatible with '.rwl'
files and tailored for the Canadian Forest Service Tree-Ring
Data (CFS-TRenD) repository (Girardin et al. (2021)
&lt;doi:10.1139/er-2020-0099&gt;), offering a comprehensive and
adaptable framework for dendrochronologists working with large
and complex datasets.</description><link>https://github.com/r-universe/cfs-treering/actions/runs/26713848282</link><pubDate>Sun, 31 May 2026 12:05:39 GMT</pubDate><r:package>growthTrendR</r:package><r:version>0.3.0.9000</r:version><r:status>failure</r:status><r:repository>https://cfs-treering.r-universe.dev</r:repository><r:upstream>https://github.com/cfs-treering/growthtrendr</r:upstream></item></channel></rss>