Struct AdditiveBlockJacobian 

pub struct AdditiveBlockJacobian {
    pub design: Array2<f64>,
    pub own_output: usize,
    pub n_family_outputs: usize,
}

A BlockEffectiveJacobian for any block that contributes linearly to exactly one output of a multi-output family.

own_output is the zero-based output index that this block drives. n_family_outputs is the total number of outputs (e.g. 2 for location-scale). design is the block’s effective design matrix (n × p_block).

The returned Jacobian has shape (n_family_outputs * n, p_block): rows own_output * n .. (own_output + 1) * n contain design, all other rows are zero.

Fields

design: Array2<f64>

own_output: usize

n_family_outputs: usize

Trait Implementations

impl BlockEffectiveJacobian for AdditiveBlockJacobian

fn effective_jacobian_rows( &self, state: &FamilyLinearizationState<'_>, rows: Range<usize>, ) -> Result<Array2<f64>, String>

Stacked multi-output Jacobian for a contiguous observation row range.

fn n_outputs(&self) -> usize

Number of stacked output channels. 1 for most blocks.

fn effective_jacobian_at( &self, state: &FamilyLinearizationState<'_>, ) -> Result<Array2<f64>, String>

Stacked multi-output Jacobian at the current β.

fn eta_row_scaling_for_skewness(&self) -> Option<Arc<[f64]>>

Returns the per-row scaling vector when this callback is a simple diagonal-scaling block (RowScaledJacobian). Used by the identifiability audit’s skewness-aware bias correction (T25).