cali_mean_ybinary_algm: Calibrate Estimate of Intervention Mean for Binary Outcome

In CopSens: Copula-Based Sensitivity Analysis for Observational Causal Inference

Calibrate Estimate of Intervention Mean for Binary Outcome

Description

Calibrate Estimate of Intervention Mean for Binary Outcome

Usage

cali_mean_ybinary_algm(i, gamma, mu_u_tr, mu_u_t, mu_y_t, nsim = 4000)

Arguments

i	Observation index.
gamma	Scalar or vector specifying the sensitivity parameters.
mu_u_tr	Matrix of conditional confounder means for all observed treatments with latent variables in columns.
mu_u_t	Matrix of conditional confounder means for treatments of interest with latent variables in columns.
mu_y_t	Scalar or vector that contains naive estimates of treatment effects ignoring confounding.
nsim	Number of simulation sample draws.

Value

Scalar of calibrated intervention mean.

CopSens documentation built on May 12, 2022, 9:06 a.m.