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Linear outcome regression ATT estimator

Source: R/est-lm-att.R
est_lm_att.Rd

Fits a linear model on controls and uses g-computation to estimate ATT.

Usage

est_lm_att(df, tau = cs_tau_oracle, config = list())

Arguments

df

Data frame containing at least y, w, and covariates named X*.

tau

Numeric vector of quantile levels (unused; included for a uniform estimator interface).

config

List of estimator configuration options. Common fields include:

  • ci_method: CI intent; one of "none", "default", "bootstrap", "native" (see cs_ci_methods).

  • seed: required when bootstrap CIs are requested.

  • n_boot: number of bootstrap draws (default: 200).

For this estimator, ci_method = "default" maps to "bootstrap".

Value

A legacy-compatible estimator result with an att estimate and optional interval, qst = NULL, cf = NULL, and CI/provenance meta.