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().
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