get_best_params: Get best-fit parameters

Description

Returns the best-fit parameters for a given nonlinear parameter bounds and nonlinear functions.

get_best_params(
  dat,
  form,
  functions,
  nlparam,
  lp,
  lp_bounds = NULL,
  lhs_var,
  N = 10,
  silent = TRUE,
  parallel = FALSE
)

A list containing the strings for the nonlinear functions of the formula.

dat: Data frame with the data points to be fitted.
form: A formula given in the form "LHS ~ a1 * F_1(x,p1) + a2 * F_2(x,p2) + ... + an F_n(x,pn)"
functions: A string array with the nonlinear functions as obtained with get_functions functions.
nlparam: A list with the names of the nonlinear parameters and their lower and upper bounds in the form c(lower,upper).
lp: A string array with the names of the linear parameters contained in the formula as obtained with get_parameters function
lp_bounds: An optional list with the bounding restrictions over the linear parameters.
lhs_var: The name of the left-hand-side of the formula
N: Size of the partition of the nonlinear parameters. Defaults to 10.
silent: Logical. If TRUE (default) supresses any warnings regarding the collinearity of the columns of the matrix in the determination of the best linear parameters.
parallel: Logical. If TRUE then multicore parallelization of for loops is done with the parallel package. Defaults to FALSE.

This is an internal function called from nls_tac function. It is not intended for direct use.