Struct MfpcaResult 

#[non_exhaustive]
pub struct MfpcaResult {
    pub scores: FdMatrix,
    pub eigenfunctions: Vec<FdMatrix>,
    pub eigenvalues: Vec<f64>,
    pub means: Vec<Vec<f64>>,
    pub scales: Vec<f64>,
    pub grid_sizes: Vec<usize>,
    /* private fields */
}

Result of multivariate FPCA.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

scores: FdMatrix

Score matrix (n x ncomp).

eigenfunctions: Vec<FdMatrix>

Eigenfunctions split by variable (one FdMatrix per variable, each m_p x ncomp).

eigenvalues: Vec<f64>

Eigenvalues (length ncomp): squared singular values divided by (n-1).

means: Vec<Vec<f64>>

Per-variable mean functions.

scales: Vec<f64>

Per-variable standard deviations (sqrt of mean column variance).

grid_sizes: Vec<usize>

Grid sizes per variable.

Implementations

impl MfpcaResult

pub fn project(&self, new_data: &[&FdMatrix]) -> Result<FdMatrix, FdarError>

Project new multivariate functional data onto the MFPCA score space.

Each element of new_data is an n_new x m_p matrix for variable p.

Errors

Returns FdarError::InvalidDimension if the number of variables or their grid sizes do not match the training data.

pub fn reconstruct( &self, scores: &FdMatrix, ncomp: usize, ) -> Result<Vec<FdMatrix>, FdarError>

Reconstruct multivariate functional data from scores.

Returns one FdMatrix per variable (n x m_p).

Errors

Returns FdarError::InvalidParameter if ncomp exceeds available components.

Trait Implementations

impl Clone for MfpcaResult

fn clone(&self) -> MfpcaResult

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for MfpcaResult

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for MfpcaResult

fn eq(&self, other: &MfpcaResult) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for MfpcaResult