Struct NestedFrailtyModel 

pub struct NestedFrailtyModel { /* private fields */ }

Two-level nested frailty model.

The hazard for subject k in inner cluster j within outer cluster i is: h(t | x, v_i, w_ij) = v_i · w_ij · h₀(t) · exp(x β)

Fitted via a nested EM algorithm that alternates between updating outer frailties, inner frailties, regression coefficients, and variance components.

Implementations

impl NestedFrailtyModel

pub fn new(config: FrailtyConfig) -> Self

Create a new nested frailty model with the given configuration.

pub fn fit( &self, times: &[f64], events: &[bool], covariates: &[&[f64]], inner_clusters: &[usize], outer_clusters: &[usize], ) -> StatsResult<NestedFrailtyResult>

Fit the nested frailty model.

Arguments

• times – observed event/censoring times (n elements)
• events – event indicators
• covariates – covariate matrix (n rows)
• inner_clusters – inner cluster assignment for each subject (e.g., center)
• outer_clusters – outer cluster assignment for each subject (e.g., region)

Errors

Returns StatsError on dimension mismatch, insufficient clusters, etc.

Trait Implementations

impl Clone for NestedFrailtyModel

fn clone(&self) -> NestedFrailtyModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NestedFrailtyModel

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

Formats the value using the given formatter.