Struct GamlssResult 

#[non_exhaustive]
pub struct GamlssResult {
    pub mu_fitted: FdMatrix,
    pub sigma_fitted: FdMatrix,
    pub mu_intercept: Vec<f64>,
    pub sigma_intercept: Vec<f64>,
    pub mu_beta: FdMatrix,
    pub sigma_beta: FdMatrix,
    pub log_likelihood: f64,
    pub ll_path: Vec<f64>,
    pub mstop: usize,
    pub nu: f64,
}

Result of GAMLSS-style distributional functional regression (REG-06-03).

Models a Gaussian functional response Y(t) with location μ(t) and scale σ(t). Cyclic component-wise boosting alternates between boosting μ and log-σ.

Divergence from gamboostLSS: uses cyclic rather than noncyclic (non-cyclic per-iteration selection is superior for variable selection but more complex). Links: identity for μ, log for σ.

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.

mu_fitted: FdMatrix

Fitted location μ̂(t) per observation (n × m_t).

sigma_fitted: FdMatrix

Fitted scale σ̂(t) per observation (n × m_t); always positive.

mu_intercept: Vec<f64>

Intercept for the μ model: F̂_μ,₀(t) = Ȳ(t) (length m_t).

sigma_intercept: Vec<f64>

Intercept for the log-σ model: 0 → exp(0) = 1 (length m_t).

mu_beta: FdMatrix

Accumulated μ coefficient functions (p × m_t).

sigma_beta: FdMatrix

Accumulated log-σ coefficient functions (p × m_t).

log_likelihood: f64

Final Gaussian log-likelihood at convergence.

ll_path: Vec<f64>

Log-likelihood per cyclic iteration (length mstop).

mstop: usize

Number of cyclic boosting iterations used.

nu: f64

Learning rate ν used.

Trait Implementations

impl Clone for GamlssResult

fn clone(&self) -> GamlssResult

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GamlssResult

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

Formats the value using the given formatter.

impl PartialEq for GamlssResult

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

Equality operator ==.

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

Inequality operator !=.

impl StructuralPartialEq for GamlssResult