calculate_jacobian_interventional_density: Calculate the Jacobian of the Density Function of the...

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

Calculate the Jacobian of the Density Function of the Interventional Distribution

Description

Calculate the Jacobian of the probability density function (pdf) of the Interventional distributionfor a specific interventional level and a specific value in the range of the outcome variable.

Usage

calculate_jacobian_interventional_density(
  model,
  x,
  y,
  intervention_names,
  outcome_names,
  verbose
)

Arguments

model	internal_list or object of class causalSEM
x	interventional level
y	value in the range of the outcome variable
intervention_names	names of interventional variables
outcome_names	name of outcome variable
verbose	verbosity of console outputs

Value

calculate_jacobian_interventional_density returns the Jacobian of interventional probability density function (numeric value) as defined in Eq. 18c (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.