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rTG

Methods to Analyse Seasonal Radial Tree Growth Data

v1.0.4 · Feb 28, 2025 · GPL-3

Description

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().

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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies brnn minpack.lm ggplot2 mgcv knitr dplyr(>= 0.1.0) magrittr rTG

Version History

new 1.0.4 Mar 9, 2026