Perform a batch simulation.

Usage

batch_simulation(
  arg_grid,
  sim_fun,
  default_list = list(),
  bigmemory = TRUE,
  ...
)

# S3 method for class 'batch_simulation'
print(x, detail = FALSE, ...)

Arguments

arg_grid: An arg_grid object. See make_arg_grid().
sim_fun: The simulation function. See sim_fun_test() for an example.
default_list: A list of default values for sim_fun.
bigmemory: Use hash_big_matrix-class() to store large matrices?
...: Other parameters passed to sim_fun
x: An arg_set object
detail: Do you want to print the object details as a full list?

Value

A batch_simulation object, also a data frame. The first column, var, is a list of ele_list that contains all the variables; the second to the second last columns are the values of the variables; the last column is the output of the simulation function.

Functions

batch_simulation(): Perform a batch simulation.

Examples

batch_arg_set_grad <- new_arg_set()
batch_arg_set_grad <- batch_arg_set_grad %>%
  add_arg_ele(
    arg_name = "parameter", ele_name = "a",
    start = -6, end = -1, by = 1
  )
batch_grid_grad <- make_arg_grid(batch_arg_set_grad)
batch_output_grad <- batch_simulation(batch_grid_grad, sim_fun_grad,
  default_list = list(
    initial = list(x = 0, y = 0),
    parameter = list(a = -4, b = 0, c = 0, sigmasq = 1)
  ),
  length = 1e2,
  seed = 1614,
  bigmemory = FALSE
)
print(batch_output_grad)
#> Output(s) from 6 simulations.