Constructs an observational study data object for estimating causal effects from non-experimental data.
Examples
data <- generate_data(N = 1000, k = 2, tau = 5)
obs <- observational(data$Y, data$Z, data$X)
est_via_aipw(obs)
#> Causal Model Estimation Result
#> ------------------------------
#> ATE: 4.987031
#> SE: 0.076564
#> z: 65.1358
#> p-value: 0.0000
#> 95% CI: [4.836969, 5.137093]