predict_ttr: Make a prediction from a fitted model

In TTR.PGM: Thornley Transport Resistance Plant Growth Model

Make a prediction from a fitted model

Description

Make a prediction from a fitted TTR.PGM model.

Usage

predict_ttr(parms, Model, Data, new.input = NULL, options = NULL, optim = NULL)

Arguments

parms	A vector of parameters compatible with the data object 'Data' and the user defined Model function
Model	A user defined Model function that accepts 'parms' and 'Data' as input
Data	A Data object as produced by make_data()
new.input	If the prediction should use different forcing data from 'Data', this can be an input object as returned by get_input()
options	If the prediction should use different options from 'Data', this can be supplied as an options list as required by make_data()
optim	If the user defined Model function tests for 'optim' in options, this can be used to set it. Defaults to the string "no"

Details

predict_ttr() returns the data object specified when the option 'Data$options$optim' in the user defined Model is set to "no". See the vignette for an example.

Value

The prediction as specified in the user defined Model function

TTR.PGM documentation built on June 8, 2025, 9:32 p.m.