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Add `n_param x n_draws` database of possible parameter draws to the model.
set_prior_distribution(model, n_draws = 4000)
An object of class causal_model with the `prior_distribution` attached to it.
causal_model
A causal_model. A model object generated by make_model.
make_model
A scalar. Number of draws.
Other set: set_confound(), set_restrictions()
set_confound()
set_restrictions()
make_model('X -> Y') |> set_prior_distribution(n_draws = 5) |> inspect("prior_distribution")
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