Make a prior distribution from priors
Create a n_param
x n_draws
database of possible lambda draws to be attached to the model.
make_prior_distribution(model, n_draws = 4000)
model
: A causal_model
. A model object generated by make_model
.n_draws
: A scalar. Number of draws.A data.frame
with dimension n_param
x n_draws
of possible lambda draws
make_model('X -> Y') |> CausalQueries:::make_prior_distribution(n_draws = 5)
Useful links