Struct RowScaledJacobian 

pub struct RowScaledJacobian {
    pub design: Arc<Array2<f64>>,
    pub eta_scaling: Arc<[f64]>,
}

A BlockEffectiveJacobian for a single-output block whose contribution to the linear predictor is diag(eta_scaling) · design (row-wise scaling).

This is the canonical replacement for the former eta_row_scaling field on ParameterBlockSpec. The identifiability audit’s skewness-aware bias correction can recover the scaling vector via BlockEffectiveJacobian::eta_row_scaling_for_skewness.

Fields

design: Arc<Array2<f64>>

eta_scaling: Arc<[f64]>

Trait Implementations

impl BlockEffectiveJacobian for RowScaledJacobian

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 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).

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

Stacked multi-output Jacobian at the current β.

fn n_outputs(&self) -> usize

Number of stacked output channels. 1 for most blocks.