sandImpACE {ui}R Documentation

Calculates standard error of Average causal effect

Description

This is a support function for ui.causal and calculates standard error of Average causal effect for the regression imputation estimator.

Usage

sandImpACE(X, y, z, BetaOLSy0, BetaOLSy1, NaivEst, N, p)

Arguments

X

Covariate matrix.

y

Outcome vector.

z

missingness indicator.

BetaOLSy0

Coefficients from non-treated regression.

BetaOLSy1

Coefficients from treated regression.

NaivEst

Naiv estimates.

N

Total number.

p

Number of covariates outcome regression.


[Package ui version 0.1.1 Index]