calculate_jacobian_interventional_variances: Calculate Jacobian of the Covariance Matrix of the...

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

Calculate Jacobian of the Covariance Matrix of the Interventional Distribution

Description

Calculate Jacobian of the covariance matrix of the interventional distribution for a specific interventional level.

Usage

calculate_jacobian_interventional_variances(
  model,
  intervention_names,
  outcome_names,
  verbose
)

Arguments

model	internal_list or object of class causalSEM
intervention_names	names of interventional variables
outcome_names	names of outcome variable
verbose	verbosity of console outputs

Value

The Jacobian of interventional covariance matrix (numeric matrices) as defined in Eq. 18b (p. 17)

References

Gische, C., Voelkle, M.C. (2021) Beyond the mean: a flexible framework for studying causal effects using linear models. Psychometrika (advanced online publication). https://doi.org/10.1007/s11336-021-09811-z

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