pub struct FmmResult {
pub mean_function: Vec<f64>,
pub beta_functions: FdMatrix,
pub random_effects: FdMatrix,
pub fitted: FdMatrix,
pub residuals: FdMatrix,
pub random_variance: Vec<f64>,
pub sigma2_eps: f64,
pub sigma2_u: Vec<f64>,
pub ncomp: usize,
pub n_subjects: usize,
pub eigenvalues: Vec<f64>,
}Expand description
Result of a functional mixed model fit.
Fields§
§mean_function: Vec<f64>Overall mean function μ̂(t) (length m)
beta_functions: FdMatrixFixed effect coefficient functions β̂_j(t) (p × m matrix, one row per covariate)
random_effects: FdMatrixRandom effect functions b̂_i(t) per subject (n_subjects × m)
fitted: FdMatrixFitted values for all observations (n_total × m)
residuals: FdMatrixResiduals (n_total × m)
random_variance: Vec<f64>Variance of random effects at each time point (length m)
sigma2_eps: f64Residual variance estimate
sigma2_u: Vec<f64>Random effect variance estimate (per-component)
ncomp: usizeNumber of FPC components used
n_subjects: usizeNumber of subjects
eigenvalues: Vec<f64>FPC eigenvalues (singular values squared / n)
Auto Trait Implementations§
impl Freeze for FmmResult
impl RefUnwindSafe for FmmResult
impl Send for FmmResult
impl Sync for FmmResult
impl Unpin for FmmResult
impl UnsafeUnpin for FmmResult
impl UnwindSafe for FmmResult
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