calculate_jacobian_interventional_means_backup: Calculate Jacobian of Interventional Mean

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

Calculate Jacobian of Interventional Mean

Description

Calculate Jacobian of the interventional mean Vector for a specific interventional level (see, for example, Eq. 18a in Gische and Voelkle, 2022).

Usage

calculate_jacobian_interventional_means_backup(
  model = NULL,
  x = NULL,
  intervention_names = NULL,
  outcome_names = NULL,
  verbose = NULL
)

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.

Value

The Jacobian of interventional mean vector (numeric matrices) as defined in Eq. 18a in Gische and Voelkle (2022).

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.