gen_all_data: Generate all the data needed for the macroeconomics example
In ooelrich/oscbvar: Stuff for Bayesian vector autoregressions

Generates all the data needed to create the figures and table in the macroeconomics example.

gen_all_data(
  model_list,
  agc = list(5, 60, FALSE, 1),
  start_agg = 161,
  cw = 5,
  mvc = 10,
  gen_atom = TRUE,
  atom_df = NULL
)

`model_list`	List of names of the atomic models to use.
`agc`	List of atomic prediction generation controllers. The first element of the list gives the starting time (ie what observation is considered as t = 1), the second element is the minimum window length used for estimation, and the third one is a boolean indicating if the estimation window is rolling or not.
`start_agg`	At which time point to start aggregating. This will depend on how much training data you want to feed the algorithms.
`cw`	Caliper width.
`mvc`	Minimum viable cluster.
`gen_atom`	Should atomic data be generated or is it supplied? Defaults to TRUE.
`atom_df`	Optional argument, supplies a data frame with atomic predictions.