opt_paramsNLS: Performs non-linear least squares parameter optimisation.

In SharpRT/NFRR_Philippines: NFRRPhilippines

Description

Performs non-linear least squares parameter optimisation.

Usage

opt_paramsNLS(
  initParams,
  lower = NULL,
  upper = NULL,
  plotSum,
  tColStr,
  modelFunc = NULL,
  modelFuncRes = NULL,
  modelFuncSus = NULL,
  control = nls.control(),
  algorithm = "port",
  ...
)

Arguments

initParams	initial guess parameter values for optimiser to improve upon
lower	lower bound of parameter values for optimiser to search
upper	upper bound of parameter values for optimiser to search
plotSum	target experimental data
tColStr	name of matrix's column to be used as measure of time, e.g. "DAT"
modelFuncRes	function containing the resistant variety model to be solved
modelFuncSus	function containing the susceptible variety model to be solved
control	nls control object
...	unmodified parameters (incl. isNonDim, N0, args(optional), plotArea and residFunc) to be passed to opt_residuals()

Value

non-linear least squares (nls) object

SharpRT/NFRR_Philippines documentation built on Dec. 18, 2021, 1:05 p.m.