calculate_jacobian_Psi: Calculate Jacobian of Covariance Matrix

View source: R/calculate_jacobian_Psi.R

calculate_jacobian_PsiR Documentation

Calculate Jacobian of Covariance Matrix

Description

Calculates the Jacobian of the vectorized covariance matrix of error terms (Psi-matrix). The Jacobian is defined as the partial derivative with respect to the parameters vector theta of distinct and functionally unrelated parameters.

Usage

calculate_jacobian_Psi(internal_list = NULL)

Arguments

internal_list

A list with various information extracted from the model.

Value

The inputted list with the slot ..$derivative in the sublist ..$Psi filled in:

..$derivative: Numeric matrix containing the Jacobian of the vectorized Psi matrix.

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.