The function predicts height from diameter based on a fitted model.
predictHeight(D, model, err = FALSE, plot = NULL)Returns a vector of total tree height (in m).
Vector of diameter (in cm).
A height-diameter model output by the function modelHD()
If TRUE, An error is taken randomly from a normal distribution with a mean of
zero and a standard deviation equalled to the residual standard error of the model (RSE). Only used
for the Monte Carlo approach (see AGBmonteCarlo()), otherwise it should be
let as FALSE, the default case.
(optional) Plot ID, must be either one value, or a vector of the same length as D. This argument is used to build stand-specific HD models.
Maxime REJOU-MECHAIN, Ariane TANGUY, Arthur PERE
In the case where the error is FALSE and the model is a log-log model, we use the
Baskerville correction, a bias correction factor used to get unbiased backtransformation values.
minpack.lm::nlsLM()