CoOL_0_confounding_simulation: Confounding example
In ekstroem/CoOL: Causes of Outcome Learning
CoOL_0_confounding_simulation R Documentation
Confounding example
Description
To reproduce the confounding example.
Usage
CoOL_0_confounding_simulation(n)
Arguments
n
number of observations for the synthetic data.
Value
A data frame with the columns Y, A, B, C, D, E, F and n rows.
References
Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology <https://doi.org/10.1093/ije/dyac078>
ekstroem/CoOL documentation built on June 1, 2022, 12:33 p.m.
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| CoOL_0_confounding_simulation | R Documentation |
Confounding example
Description
To reproduce the confounding example.
Usage
CoOL_0_confounding_simulation(n)
Arguments
n |
number of observations for the synthetic data. |
Value
A data frame with the columns Y, A, B, C, D, E, F and n rows.
References
Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology <https://doi.org/10.1093/ije/dyac078>
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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