cali_mean_ybinary_algm {CopSens} | R Documentation |
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.
[Package CopSens version 0.1.0 Index]