bikes_bart: Notebook generator: BART
In ooelrich/oscbvar: Stuff for Bayesian vector autoregressions

Generates a notebook for a BART model using the bikesharing data.

bikes_bart(
  agc = list(1, 200, TRUE),
  include_intercept = FALSE,
  nrep = 10000,
  nburn = 5000
)

`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.
`include_intercept`	Whether to include an intercep in the design matrix or not. Defaults to FALSE since the intercept breaks the function
`nrep`	Number of MCMC draws (after burn-in)
`nburn`	Number of burn-in draws