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,
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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