# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "growthTrendR" in publications use:' type: software license: GPL-3.0-only title: 'growthTrendR: Toolkit for Data Processing, Quality, and Statistical Models' version: 0.3.0.9000 doi: 10.32614/CRAN.package.growthTrendR abstract: 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 (), 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) ), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets. authors: - family-names: Guo given-names: Xiao Jing email: xiaojing.guo@nrcan-rncan.gc.ca - family-names: Girardin given-names: Martin - family-names: Metsaranta given-names: Juha - family-names: Gervais given-names: David - family-names: Campbell given-names: Elizabeth repository: https://cfs-treering.r-universe.dev commit: eb81e4c090f272c420962b2087527864236750bd date-released: '2026-04-19' contact: - family-names: Guo given-names: Xiao Jing email: xiaojing.guo@nrcan-rncan.gc.ca