Toolkit for Data Processing, Quality, and Statistical Models R package growthTrendR version 0.2.2 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 (<https://CRAN.R-project.org/package=mgcv>), 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) <doi:10.1139/er-2020-0099>), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets. Software Depends: R (>= 4.3.0) Imports: data.table (>= 1.17.8), stringr (>= 1.4.0), stats (>= 4.3.2), mgcv (>= 1.8.0), ggplot2 (>= 3.0.0), nlme(>= 3.0.0), patchwork(>= 1.0.0), terra (>= 1.7-71), raster(>= 3.6-26), furrr(>= 0.3.1), future(>= 1.34.0), htmltools(>= 0.5.9), curl(>= 7.0.0), dplyr(>= 1.1.4) Suggests: knitr, geosphere, ggeffects (>= 2.3.0), ggforce(>= 0.4.2), gstat(>= 2.1-3), scales(>= 1.3.0), purrr(>= 1.0.0), parallel(>= 4.3.0), MuMIn(>= 1.48.2), rmarkdown(>= 2.29), rstudioapi(>= 0.16), MASS(>= 7.3-60), sf(>= 1.0-15), sp(>= 2.1.0), spdep(>= 1.3), magick(>= 2.8.6), gt(>= 1.2.0), kableExtra(>= 1.4.0), httr(>= 1.4.7) Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca> Comprehensive R Archive Network (CRAN) Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut] GPL-3 2026-02-12 application/tgz https://CRAN.R-project.org/package=growthTrendR doi:10.32614/CRAN.package.growthTrendR