# MonteCarloOptions

Monte Carlo settings.

Usage

[Source](https://github.com/lornearnold/driven-pile/blob/main/src/driven_pile/options.py#L87-L123)

``` python
MonteCarloOptions(
    bias_cov=0.35,
    crr_sigma_ln=0.2,
    dphi_bound=2.5,
    target_noise=True,
    ci_target=0.02,
    chunk=100,
    max_realizations=1200,
    seed=None,
)
```

## Attributes

`bias_cov: float`  
Coefficient of variation of the lognormal capacity-formula bias (mean 1), drawn per realization.

`crr_sigma_ln: float`  
Log standard deviation of the lognormal multiplier on the cyclic resistance ratio (median 1), drawn per realization.

`dphi_bound: float`  
Half-width of the uniform shift of the friction angle correlation line, deg, drawn per realization.

`target_noise: bool`  
Add independent normal noise to each foot's capacity target with the robust standard deviation of the raw-minus-smoothed residuals.

`ci_target: float`  
Stop when the 95 percent confidence half-width of the mean long-term capacity is below this fraction of the mean.

`chunk: int`  
Realizations between convergence checks.

`max_realizations: int`  
Upper limit on realizations.

`seed: int or None`  
Seed of the random number generator.