sensitivity_alpha: Sensitivity Analysis for SC-CIC

In sccic: Synthetic Control Changes-in-Changes Estimator

Sensitivity Analysis for SC-CIC

Description

Re-estimates the SC-CIC treatment effect over a grid of elastic net penalty parameters, showing sensitivity to the regularization choice.

Usage

sensitivity_alpha(
  y_treated,
  y_donors,
  treatment_period,
  alphas = seq(0, 1, 0.2),
  seed = 42
)

Arguments

y_treated	Numeric vector. Treated unit outcomes.
y_donors	Numeric matrix. Donor unit outcomes.
treatment_period	Integer. First treatment period index.
alphas	Numeric vector. Grid of alpha values to evaluate. Default is seq(0, 1, 0.2).
seed	Integer or NULL. Random seed.

Value

A data frame with columns alpha, tau_cic, tau_did, n_donors, and pre_rmse.

sccic documentation built on April 10, 2026, 5:07 p.m.