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growthTrendR
View on CRAN: Click
here
Download and install growthTrendR package within the R console
Install from CRAN:
install.packages("growthTrendR")
Install from Github:
library("remotes")
install_github("cran/growthTrendR") Install by package version:
library("remotes")
install_version("growthTrendR", "0.2.1") Attach the package and use:
library("growthTrendR")
Maintained by
Xiao Jing Guo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
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First Published: 2026-01-29
Latest Update: 2026-01-29
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 (<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.
How to cite:
Xiao Jing Guo (2026). growthTrendR: Toolkit for Data Processing, Quality, and Statistical Models. R package version 0.2.1, https://cran.r-project.org/web/packages/growthTrendR. Accessed 04 Jun. 2026.
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