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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.2 |
rolling source/ R- | growthTrendR_0.2.2.tar.gz |
5.6 MiB |
0.2.2 |
rolling linux/jammy R-4.5 | growthTrendR_0.2.2.tar.gz |
4.2 MiB |
0.2.2 |
rolling linux/noble R-4.5 | growthTrendR_0.2.2.tar.gz |
4.2 MiB |
0.2.2 |
latest source/ R- | growthTrendR_0.2.2.tar.gz |
5.6 MiB |
0.2.2 |
latest linux/jammy R-4.5 | growthTrendR_0.2.2.tar.gz |
4.2 MiB |
0.2.2 |
latest linux/noble R-4.5 | growthTrendR_0.2.2.tar.gz |
4.2 MiB |
0.2.2 |
2026-04-23 source/ R- | growthTrendR_0.2.2.tar.gz |
5.6 MiB |
0.2.2 |
2026-04-09 windows/windows R-4.5 | growthTrendR_0.2.2.zip |
4.2 MiB |