control_conformal_full function

Controlling the numeric details for conformal inference

control_conformal_full(
  method = "iterative",
  trial_points = 100,
  var_multiplier = 10,
  max_iter = 100,
  tolerance = .Machine$double.eps^0.25,
  progress = FALSE,
  required_pkgs = character(0),
  seed = sample.int(10^5, 1)
)

Arguments

• method: The method for computing the intervals. The options are 'search' (using) stats::uniroot(), and 'grid'.
• trial_points: When method = "grid", how many points should be evaluated?
• var_multiplier: A multiplier for the variance model that determines the possible range of the bounds.
• max_iter: When method = "iterative", the maximum number of iterations.
• tolerance: Tolerance value passed to all.equal() to determine convergence during the search computations.
• progress: Should a progress bar be used to track execution?
• required_pkgs: An optional character string for which packages are required.
• seed: A single integer used to control randomness when models are (re)fit.

Returns

A list object with the options given by the user.