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rTG  

Methods to Analyse Seasonal Radial Tree Growth Data
View on CRAN: Click here


Download and install rTG package within the R console
Install from CRAN:
install.packages("rTG")

Install from Github:
library("remotes")
install_github("cran/rTG")

Install by package version:
library("remotes")
install_version("rTG", "1.0.4")



Attach the package and use:
library("rTG")
Maintained by
Jernej Jevsenak
[Scholar Profile | Author Map]
First Published: 2021-07-21
Latest Update: 2022-05-12
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().
How to cite:
Jernej Jevsenak (2021). rTG: Methods to Analyse Seasonal Radial Tree Growth Data. R package version 1.0.4, https://cran.r-project.org/web/packages/rTG. Accessed 02 May. 2025.
Previous versions and publish date:
0.2.2 (2021-07-21 11:30), 1.0.0 (2022-02-19 13:50), 1.0.1 (2022-05-12 18:30), 1.0.2 (2024-02-03 19:30), 1.0.3 (2024-07-25 16:30)
Other packages that cited rTG R package
View rTG citation profile
Other R packages that rTG depends, imports, suggests or enhances
Complete documentation for rTG
Functions, R codes and Examples using the rTG R package
Some associated functions: XPSgrowth . data_dendrometers . data_trees . double_gompertz . parameters . 
Some associated R codes: XPSgrowth.R . data_dendrometers.R . data_trees.R . double_gompertz.R . generics.R . generics2.R . parameters.R .  Full rTG package functions and examples
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