fit_de: fit_de

In gkane26/modelfitr: Toolbox to fit models to data

fit_de

Description

runs optimization using RcppDE package (Rcpp version of DEoptim)

Usage

fit_de(
  objective,
  start = NULL,
  lower = NULL,
  upper = NULL,
  hessian = FALSE,
  sigma = 0.1,
  n_pop = 50L,
  opt_args = list(),
  obj_args = list(),
  ...
)

Arguments

objective	function; the objective function to minimize
start	numeric vector; starting parameters
lower	numeric vector; lower bounds on parameters
upper	numeric vector; upper bounds on parameters
hessian	logical; if TRUE, hessian is calculated at solution. Default = FALSE
sigma	numeric vector; standard deviation to create random initial population
n_pop	numeric vector; size of population
opt_args	list; list of arguments passed to DEoptim, see RcppDE::DEoptim for details
obj_args	list; list of arguments to pass on to objective function
...	further arguments passed to objective

gkane26/modelfitr documentation built on March 21, 2022, 10:52 a.m.