growthTrendR: Toolkit for Data Processing, Quality, and Statistical Models

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.

Version:	0.2.0
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), pryr (≥ 0.1.6), 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)
Published:	2026-01-24
DOI:	10.32614/CRAN.package.growthTrendR
Author:	Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut]
Maintainer:	Xiao Jing Guo <xiaojing.guo at nrcan-rncan.gc.ca>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	growthTrendR results

Documentation:

Reference manual:	growthTrendR.html , growthTrendR.pdf
Vignettes:	Generalized Additive Models (source, R code)

Downloads:

Package source:	growthTrendR_0.2.0.tar.gz
Windows binaries:	r-devel: growthTrendR_0.2.0.zip, r-release: growthTrendR_0.2.0.zip, r-oldrel: growthTrendR_0.2.0.zip
macOS binaries:	r-release (arm64): growthTrendR_0.2.0.tgz, r-oldrel (arm64): growthTrendR_0.2.0.tgz, r-release (x86_64): growthTrendR_0.2.0.tgz, r-oldrel (x86_64): growthTrendR_0.2.0.tgz

Linking:

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