fit_ga: fit_ga

In gkane26/modelfitr: Toolbox to fit models to data

fit_ga

Description

runs optimization using GA package

Usage

fit_ga(
  objective,
  start = NULL,
  lower = NULL,
  upper = NULL,
  hessian = T,
  sigma = 0.1,
  n_pop = 50L,
  minimize = T,
  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, find the hessian at the optimum
sigma	numeric; standard deviation to create random initial population
n_pop	integer; population size
minimize	logical; if TRUE, maximize -1 * objective
opt_args	list; list of arguments to pass to ga, see GA::ga 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.