Module irreg_fdata 

Irregular functional data operations.

This module provides data structures and algorithms for functional data where observations have different evaluation points (irregular/sparse sampling).

Storage Format

Uses a CSR-like (Compressed Sparse Row) format for efficient storage:

• offsets[i]..offsets[i+1] gives the slice indices for observation i
• argvals and values store all data contiguously

This format is memory-efficient and enables parallel processing of observations.

Example

For 3 curves with varying numbers of observation points:

• Curve 0: 5 points
• Curve 1: 3 points
• Curve 2: 7 points

The offsets would be: [0, 5, 8, 15]

Re-exports

pub use kernels::mean_irreg;

pub use kernels::KernelType;

pub use smoothing::cov_irreg;

pub use smoothing::integrate_irreg;

pub use smoothing::metric_lp_irreg;

pub use smoothing::norm_lp_irreg;

pub use smoothing::to_regular_grid;

Modules

kernels

Kernel functions and mean estimation for irregular functional data.

smoothing

Integration, norms, covariance estimation, distances, and grid conversion for irregular functional data.

Structs

IrregFdata

Compressed storage for irregular functional data.