env.single: Simulated single-level dataset

In macc: Mediation Analysis of Causality under Confounding

Description

"env.single" is an R environment containing a data frame of data generated from 100 trials, the true coefficients and the coavariance matrix of the model errors.

Usage

data("env.single")

Format

An R environment.

data1

a data frame with Z the treatment assignment, M the mediator and R the interested outcome.

Theta

a 2 by 2 matrix, which is the coefficients of the model.

Sigma

a 2 by 2 matrix, which is the covariance matrix of the model errors.

Details

The number of subjects is 100. The coefficients are set to be A = 0.5, C = 0.5 and B = -1. The variances of the model errors are σ_1^2 = 1, σ_2^2 = 4 and the correlation is δ = 0.5. See Section 5.1 of the reference.

References

Zhao, Y., & Luo, X. (2014). Estimating Mediation Effects under Correlated Errors with an Application to fMRI. arXiv preprint arXiv:1410.7217.

Examples

data(env.single)
dt<-get("data1",env.single)

macc documentation built on May 2, 2019, 12:23 p.m.