Function box_cox_transform 

pub fn box_cox_transform<F, S>(
    ts: &ArrayBase<S, Ix1>,
    lambda: Option<F>,
) -> Result<(Array1<F>, BoxCoxTransform<F>)>
where
    S: Data<Elem = F>,
    F: Float + FromPrimitive + Debug + Display + ScalarOperand,

Apply Box-Cox transformation to time series

The Box-Cox transformation is defined as:

• If λ ≠ 0: y(λ) = (y^λ - 1) / λ
• If λ = 0: y(λ) = ln(y)

Arguments

• ts - Input time series (must be positive)
• lambda - Box-Cox parameter. If None, optimal lambda is estimated

Returns

Tuple of (transformed_series, transformation_parameters)

Examples

use scirs2_core::ndarray::Array1;
use scirs2_series::transformations::box_cox_transform;

let ts = Array1::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]);
let (transformed, params) = box_cox_transform(&ts, Some(0.5)).unwrap();