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| CausalQueries-package | 'CausalQueries' |
| all_data_types | All data types |
| collapse_data | Make compact data with data strategies |
| complements | Make statement for complements |
| data_type_names | Data type names |
| decreasing | Make monotonicity statement (negative) |
| democracy_data | Democracy Data |
| expand_data | Expand compact data object to data frame |
| expand_wildcard | Expand wildcard |
| get_ambiguities_matrix | Get ambiguities matrix |
| get_causal_types | Get causal types |
| get_event_prob | Draw event probabilities |
| get_nodal_types | Get list of types for nodes in a DAG |
| get_parameters | Get parameters |
| get_parameter_matrix | Get parameter matrix |
| get_parameter_names | Get parameter names |
| get_param_dist | Get a distribution of model parameters |
| get_parents | Get list of parents of all nodes in a model |
| get_priors | Get priors |
| get_prior_distribution | Get a prior distribution from priors |
| get_query_types | Look up query types |
| get_type_prob | Get type probabilities |
| get_type_prob_multiple | Draw matrix of type probabilities, before or after estimation |
| increasing | Make monotonicity statement (positive) |
| interacts | Make statement for any interaction |
| interpret_type | Interpret or find position in nodal type |
| make_confounds_df | Make a confounds dataframe |
| make_data | Make data |
| make_events | Make data in compact form |
| make_model | Make a model |
| make_parameters | Make a 'true' parameter vector |
| make_parameter_matrix | Make parameter matrix |
| make_priors | Make Priors |
| make_prior_distribution | Make a prior distribution from priors |
| make_values_task_list | Make values task list |
| non_decreasing | Make monotonicity statement (non negative) |
| non_increasing | Make monotonicity statement (non positive) |
| observe_data | Observe data, given a strategy |
| query_distribution | Calculate query distribution |
| query_model | Generate estimands dataframe |
| reveal_outcomes | Reveal outcomes |
| set_ambiguities_matrix | Set ambiguity matrix |
| set_confound | Set confound |
| set_confounds | Set confounds |
| set_confounds_df | Set a confounds_df |
| set_parameters | Set parameters |
| set_parameter_matrix | Set parameter matrix |
| set_priors | Set prior distribution |
| set_prior_distribution | Add prior distribution draws |
| set_restrictions | Restrict a model |
| simulate_data | simulate_data is an alias for make_data |
| substitutes | Make statement for substitutes |
| te | Make treatment effect statement (positive) |
| update_model | Fit causal model using 'stan' |