dot-compute_error_metrics: Compute MISE, AISE, and ISB between estimated and true beta

In FPScausal: Functional Propensity Score for Causal Inference

Compute MISE, AISE, and ISB between estimated and true beta

Description

Compute MISE, AISE, and ISB between estimated and true beta

Usage

.compute_error_metrics(beta_hat, beta_true)

Arguments

beta_hat	Numeric vector (or matrix for functional case).
beta_true	Numeric vector (or matrix) of the same shape.

Value

Named numeric vector with MISE, AISE, ISB (for single estimate, MISE=AISE=ISB=ISE).

FPScausal documentation built on Aug. 9, 2026, 9:07 a.m.