function to make a parameters_df from nodal types
Examples
make_parameters_df(list(X = "1", Y = c("01", "10")))
#> Mapping of model parameters to nodal types:
#>
#> ----------------------------------------------------------------
#>
#> param_names: name of parameter
#> node: name of endogeneous node associated with the parameter
#> gen: partial causal ordering of the parameter's node
#> param_set: parameter groupings forming a simplex
#> given: if model has confounding gives conditioning nodal type
#> param_value: parameter values
#> priors: hyperparameters of the prior Dirichlet distribution
#>
#> ----------------------------------------------------------------
#>
#> param_names node gen param_set nodal_type given param_value priors
#> 1 X.1 X 1 X 1 1.0 1
#> 2 Y.01 Y 2 Y 01 0.5 1
#> 3 Y.10 Y 2 Y 10 0.5 1