Methods to Analyse Seasonal Radial Tree Growth Data

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 and 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().


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("rTG")

0.2.2 by Jernej Jevsenak, 3 months ago


https://github.com/jernejjevsenak/rTG


Report a bug at https://github.com/jernejjevsenak/rTG/issues


Browse source code at https://github.com/cran/rTG


Authors: Jernej Jevsenak [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports ggplot2, brnn, mgcv, knitr, dplyr, magrittr

Suggests testthat


See at CRAN