Struct FastFmmResult 

#[non_exhaustive]
pub struct FastFmmResult {
    pub beta_matrix: FdMatrix,
    pub t_stats: FdMatrix,
    pub p_values: FdMatrix,
    pub sigma2_eps: Vec<f64>,
    pub sigma2_u: Vec<f64>,
    pub n_grid: usize,
}

Result of a fast massively-univariate functional mixed model fit.

Divergence from R’s fastFMM

R’s fastFMM (Cui et al. 2022, JCGS 31(1):219–230) fits per-gridpoint GLMMs via lme4 and smooths via mgcv. fdars fits per-gridpoint scalar mixed models via the existing REML-EM solver, smooths via running-mean, and computes Wald-only inference — no bootstrap.

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.

beta_matrix: FdMatrix

Smoothed fixed-effect functions: p × m matrix (one row per covariate)

t_stats: FdMatrix

Wald t-statistics: p × m (zero-filled when compute_inference = false)

p_values: FdMatrix

Pointwise two-sided p-values: p × m (one-filled when compute_inference = false)

sigma2_eps: Vec<f64>

Per-gridpoint residual variance estimate (length m)

sigma2_u: Vec<f64>

Per-gridpoint random-intercept variance estimate (length m)

n_grid: usize

Number of grid points m

Trait Implementations

impl Clone for FastFmmResult

fn clone(&self) -> FastFmmResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for FastFmmResult

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

Formats the value using the given formatter.

impl PartialEq for FastFmmResult

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for FastFmmResult