# Controlling the numeric details for conformal inference

Source:`R/conformal_infer.R`

`control_conformal_full.Rd`

Controlling the numeric details for conformal inference

## Usage

```
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.