Run the simulation in a resumable way — run_resumable

this function accepts an initial simulation state as an argument, and returns the final state after running all of its timesteps. This allows one run to be resumed, possibly having changed some of the parameters.

run_resumable_simulation(
  timesteps,
  parameters = NULL,
  correlations = NULL,
  initial_state = NULL,
  restore_random_state = FALSE
)

Arguments

timesteps: the timestep at which to stop the simulation
parameters: a named list of parameters to use
correlations: correlation parameters
initial_state: the state from which the simulation is resumed
restore_random_state: if TRUE, restore the random number generator's state from the checkpoint.

Value

a list with two entries, one for the dataframe of results and one for the final simulation state.