fill_in_interventional_density: Fill in pdf of Interventional Distribution to List Fill in...
In christian-gische/causalSEM: Analyze Causal Effects Using Interventional Distributions
View source: R/fill_in_interventional_density.R
fill_in_interventional_density R Documentation
Fill in pdf of Interventional Distribution to List
Fill in the probability density function (pdf) of the
interventional distribution to the internal list. The values are computed
pointwise over a grid of values for each univariate variable separately
(i.e., the pdfs of the marginal distributions). See, for example,
Eqs. 9, 14, and 22c in Gische and Voelkle (2022).
Description
Fill in pdf of Interventional Distribution to List
Fill in the probability density function (pdf) of the
interventional distribution to the internal list. The values are computed
pointwise over a grid of values for each univariate variable separately
(i.e., the pdfs of the marginal distributions). See, for example,
Eqs. 9, 14, and 22c in Gische and Voelkle (2022).
Usage
fill_in_interventional_density(internal_list = NULL)
Arguments
internal_list
A list with information extracted from the model.
Value
The inputted list with slot
..$interventional_distribution$density_function$values
filled in.
References
Gische, C., Voelkle, M.C. (2022) Beyond the Mean: A Flexible
Framework for Studying Causal Effects Using Linear Models. Psychometrika 87,
868–901. https://doi.org/10.1007/s11336-021-09811-z
christian-gische/causalSEM documentation built on April 26, 2023, 10:36 p.m.
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View source: R/fill_in_interventional_density.R
| fill_in_interventional_density | R Documentation |
Fill in pdf of Interventional Distribution to List Fill in the probability density function (pdf) of the interventional distribution to the internal list. The values are computed pointwise over a grid of values for each univariate variable separately (i.e., the pdfs of the marginal distributions). See, for example, Eqs. 9, 14, and 22c in Gische and Voelkle (2022).
Description
Fill in pdf of Interventional Distribution to List Fill in the probability density function (pdf) of the interventional distribution to the internal list. The values are computed pointwise over a grid of values for each univariate variable separately (i.e., the pdfs of the marginal distributions). See, for example, Eqs. 9, 14, and 22c in Gische and Voelkle (2022).
Usage
fill_in_interventional_density(internal_list = NULL)
Arguments
internal_list |
A list with information extracted from the model. |
Value
The inputted list with slot
..$interventional_distribution$density_function$values
filled in.
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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