Run multiple FAC models to equilibirum accross a range of parameters

Note that the "para.grid" arguement take take produced by the param_grid() function, which gets its name because it uses the expand.grid() function to make all combinations of the parameters being varied. runFAC() has been updated to be able to output the full time serie OR just the eq pop size need to update runFAC_multi() to just take that eq size should run a bit faster if runFAC() is keep all of that info NB: "remakeFigure" does not appear in current code

runFAC_multi(
  param.grid = param_grid(),
  Ninit = c(10, 0, 10, 0),
  remakeFigure = NA,
  use.IBM = F,
  verbose = F,
  eq.tol = 6,
  ...
)

Arguments

param.grid	Dataframe of parameters, usually with 1 or 2 that vary accross a range
Ninit	vector of initial population sizes
remakeFigure	deprecated. Replaced by plot_Fig29_3
use.IBM	Use individual-based model (IBM) implementation
verbose	Use verbose output
eq.tol	Tolerance level for testing for equilibirum. Smaller values are more stringent.
...	other arguements

Value

multiFAC.out list ...