Toolkit for Data Processing, Quality, and Statistical Models
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 22 (1 internal)
- Examples that run
- 67%14 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 5%
Downloads
Dependencies
Installing growthTrendR adds 44 packages (25 with compiled code, 47 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2026-02-12
- 0.2.2Latest
- archivedRemoved from CRAN2026-01-30requires archived package 'pryr'
- 0.2.12026-01-29 · diff ↗
- 0.2.02026-01-24
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-24
- Total releases
- 3 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.3.0
- Download size
- 5.6 MB
Cite
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