fill_in_jacobian_interventional_means: Fill in Jacobian for the Mean to List
In christian-gische/causalSEM: Analyze Causal Effects Using Interventional Distributions
View source: R/fill_in_jacobian_interventional_means.R
fill_in_jacobian_interventional_means R Documentation
Fill in Jacobian for the Mean to List
Description
Fills in the Jacobian of the mean vector of the interventional
distribution into the internal list. See, for example, Theorem 9 and
Corollaries 10 and 11 in Gische and Voelkle (2022).
Usage
fill_in_jacobian_interventional_means(internal_list = NULL)
Arguments
internal_list
A list with various information extracted from the
model.
Value
The inputted list with slots
in ..$interventional_distribution$means filled in.
..$jacobian The Jacobian matrix.
References
Gische, C., Voelkle, M.C. (2022) Beyond the Mean: A Flexible
Framework for Studying Causal Effects Using Linear Models. Psychometrika 87,
868–901. https://doi.org/10.1007/s11336-021-09811-z
christian-gische/causalSEM documentation built on April 26, 2023, 10:36 p.m.
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View source: R/fill_in_jacobian_interventional_means.R
| fill_in_jacobian_interventional_means | R Documentation |
Fill in Jacobian for the Mean to List
Description
Fills in the Jacobian of the mean vector of the interventional distribution into the internal list. See, for example, Theorem 9 and Corollaries 10 and 11 in Gische and Voelkle (2022).
Usage
fill_in_jacobian_interventional_means(internal_list = NULL)
Arguments
internal_list |
A list with various information extracted from the model. |
Value
The inputted list with slots
in ..$interventional_distribution$means filled in.
..$jacobian | The Jacobian 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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