calculate_ase_interventional_means: Calculate Asymptotics of Interventional Mean

In christian-gische/causalSEM: Analyze Causal Effects Using Interventional Distributions

Calculate Asymptotics of Interventional Mean

Description

Calculates the asysmptotic covariance matrix, the aysmptotic standard errors, and the approximate z-values of the of the interventional means for a specific interventional level.

Usage

calculate_ase_interventional_means(
  model = NULL,
  x = NULL,
  intervention_names = NULL,
  outcome_names = NULL,
  verbose = NULL,
  use_model_values = FALSE
)

Arguments

model	Object of class causalSEM.
x	Numveric vector of interventional levels.
intervention_names	Character vector of names of interventional variables.
outcome_names	Character vector of names of outcome variables.
verbose	Integer number setting verbosity of console outputs.
use_model_values	Logical indicating if values stored in model object should be used (TRUE).

Value

The asymptotic covariance matrix, the asymptotic standard errors, and the approximate z-values of the the interventional means for a specific interventional level. See, for example, Theorem 9 and Corollaries 10 and 11 in Gische and Voelkle (2021).

References

Gische, C., Voelkle, M.C. (2022) Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models. Psychometrika 87, 868–901. https://doi.org/10.1007/s11336-021-09811-z

christian-gische/causalSEM documentation built on April 26, 2023, 10:36 p.m.