Module detrend 

Detrending and decomposition functions for non-stationary functional data.

This module provides methods for removing trends from functional data to enable more accurate seasonal analysis. It includes:

• Linear detrending (least squares)
• Polynomial detrending (QR decomposition)
• Differencing (first and second order)
• LOESS detrending (local polynomial regression)
• Spline detrending (P-splines)
• Automatic method selection via AIC

Re-exports

pub use auto::auto_detrend;

pub use decompose::decompose_additive;

pub use decompose::decompose_multiplicative;

pub use diff::detrend_diff;

pub use linear::detrend_linear;

pub use loess::detrend_loess;

pub use polynomial::detrend_polynomial;

pub use stl::stl_decompose;

pub use stl::stl_decompose_with_config;

pub use stl::stl_fdata;

pub use stl::StlConfig;

pub use stl::StlResult;

Modules

auto

decompose

diff

linear

loess

polynomial

stl

Structs

DecomposeResult

Result of seasonal decomposition.

TrendResult

Result of detrending operation.