CoOL_4_predict_risks: Predict the risk of the outcome using the fitted non-negative...

In ekstroem/CoOL: Causes of Outcome Learning

Predict the risk of the outcome using the fitted non-negative neural network

Description

Predict the risk of the outcome using the fitted non-negative neural network.

Usage

CoOL_4_predict_risks(X, model)

Arguments

X	The exposure data.
model	The fitted the non-negative neural network.

Value

A vector with the predicted risk of the outcome for each individual.

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>

Examples

#See the example under CoOL_0_working_example

ekstroem/CoOL documentation built on June 1, 2022, 12:33 p.m.