fill_in_asymptotics_interventional_density: Fill in Asymptotics for Density Function of Interventional...

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

Fill in Asymptotics for Density Function of Interventional Distributions

Description

Fill in asymptotics for density function of interventional distributions. Asymptotic values are computed pointwise over a grid of 200 values in the range [-3*SD, 3*SD] of the univariate outcome variable. The asysmptotic standard errors and the approximate z-values of the interventional density function for a specific interventional level are computed pointwise over the grid.

Usage

fill_in_asymptotics_interventional_density(internal_list)

Arguments

internal_list

A list with various information extracted from the model.

Value

The inputted internal_list with slot interventional_distribution$density_function ..$ase ..$z-values filled in with a list (one named entry for each variable). Each list element in ..$ase contains a matrix with two columns and 200 rows: [1] "x": generated x values (-3*SD ... 3*SD) [2] "ase": asymptotic standard errors Each list element in ..$z_values contains a matrix with two columns and 200 rows: [1] "x": generated x values (-3*SD ... 3*SD) [2] "z_values": asymptotic standard errors

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.