rTG: 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().

Getting started

Package details

AuthorJernej Jevsenak [aut, cre]
MaintainerJernej Jevsenak <jernej.jevsenak@gmail.com>
URL https://github.com/jernejjevsenak/rTG
Package repositoryView on CRAN
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rTG documentation built on July 21, 2021, 5:08 p.m.