This model assumes that the outcome Y is normally distributed conditional on S.1 and Z, with mean determined by the model formula. It also assumes that larger values of Y are more indicative of poor outcomes, e.g., blood pressure.
1 | risk_continuous(model = Y ~ S.1 * Z, D = 5000)
|
model |
Formula specifying the risk model for the mean |
D |
number of samples for the simulated annealing integration |
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