pre_compute_models_foreground: Precompute the Predicted Statistics of Foreground Models
In carlonlv/DataCenterSim: Simulations for Data Centers

Save/Load precomputed result in destined directory.

pre_compute_models_foreground(
  load_foreground_result = NULL,
  param_setting_sim = NULL,
  additional_param_sim = list(),
  foreground_x = NULL,
  foreground_xreg = NULL,
  sim_length = 200,
  bins = c(1, 2, 6, 10, 14, 18, 22, 26, 30, 50, 80, 205),
  cores = parallel::detectCores()
)

`load_foreground_result`	`NULL` or a character representing the destined load/save file path.
`param_setting_sim`	`NULL` or a dataframe representing the parameter setting of simulation, can be multiple rows corresponding to each `foreground_x` type.
`additional_param_sim`	A list of additional parameter settings of simulation.
`foreground_x`	`NULL` or a matrix or dataframe or a list of matrices or dataframes representing foreground observations.
`foreground_xreg`	`NULL` or a matrix or dataframe or a list of matrices or dataframes or a list of lists of matrices or dataframes, representing the regressor corresponding to `foreground_x`.
`sim_length`	`NULL` or a numeric integer representing the length of simulation. If exceeding the maximum length of each times series, the maximum length of each time series would be used.
`bins`	`NULL` or a numeric vector representing the choices of window sizes to be kept track of.
`cores`	`NULL` or a numeric integer representing the number of cores used for multiprocessing,