Struct LinearSensitivity 

pub struct LinearSensitivity {
    pub partial_r2_grid: Vec<f64>,
    pub pass_threshold: f64,
    pub estimator: LinearAdjustmentAte,
}

Linear confounding sensitivity: simulated Gaussian confounder with configurable partial R².

Fields

partial_r2_grid: Vec<f64>

Ascending grid of partial-R² values to test (shared for treatment and outcome).

pass_threshold: f64

Pass if the robustness value exceeds this threshold (harder to explain away).

estimator: LinearAdjustmentAte

Estimator used for refits (bootstrap disabled).

Implementations

impl LinearSensitivity

pub fn new() -> Self

Defaults: grid [0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.5], pass threshold 0.1.

pub fn refute( &self, problem: &RefutationProblem<'_>, workspace: &mut EstimationWorkspace, ctx: &ExecutionContext, ) -> Result<RefutationReport, ValidationError>

Run the linear sensitivity refuter.

Errors

Data or estimation failures, or an empty partial_r2_grid.

Trait Implementations

impl Clone for LinearSensitivity

fn clone(&self) -> LinearSensitivity

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LinearSensitivity

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

Formats the value using the given formatter.

impl Default for LinearSensitivity

fn default() -> Self

Returns the “default value” for a type.

impl<'a> Validator<RefutationProblem<'a>> for LinearSensitivity

type Prepared = PreparedRefutation<'a>

Prepared artifact produced by Self::prepare.

type Report = RefutationReport

Report produced by Self::validate.

fn prepare( &self, artifact: &RefutationProblem<'a>, _ctx: &ExecutionContext, ) -> Result<Self::Prepared, ValidationError>

Compile artifact into a reusable prepared form.

fn validate( &self, prepared: &mut Self::Prepared, workspace: &mut EstimationWorkspace, ctx: &ExecutionContext, ) -> Result<Self::Report, ValidationError>

Run the check on a prepared artifact.