Skip to content

growthTrendR

0.2.2Package record

Toolkit for Data Processing, Quality, and Statistical Models

0packages depend
2.3Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 15.1 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMEYes · 10 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

2.3K
CRAN downloads in the past year
Rank #13,475 · ~6/day · ~189/mo
Daily download trend is not available in this view yet.
28030 days
86490 days
2.3K1 year
Compare downloads with other packages →
Also on95 r2u

Dependencies

Declared dependencies
29 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 0.2.0 (2026)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2026-02-12
  • 0.2.2Latest
    record
    2026-02-12 · current release · diff ↗
  • archivedRemoved from CRAN
    2026-01-30
    requires archived package 'pryr'
  • 0.2.1
    record
    2026-01-29 · diff ↗
  • 0.2.0
    record
    2026-01-24
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("growthTrendR")
Guo, X. J., Campbell, E., Gervais, D., Girardin, M., & Metsaranta, J. (2026). growthTrendR: Toolkit for Data Processing, Quality, and Statistical Models (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.growthTrendR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for growthTrendR version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy