Methods to Analyse Seasonal Radial Tree Growth Data
Overview
Methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz function, General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().
- new functionality now allows analyses to be performed without the parameter table. In this case, random (reasonable) parameter values are assigned
- a new check ensures that all instances in data_trees also have corresponding parameters in the 'parameters' table
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5 (1 internal)
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/jernejjevsenak/rtg on 2026-10-21.
Dependencies
Installing rTG adds 34 packages (17 with compiled code, 18 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2021-07-21
- Total releases
- 6 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 12 KB / 3 files
- Download size
- 27 KB
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Run in R for the authors' entry:
citation("rTG")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1111/ecog.06030.
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