Man pages for CausalQueries
Make, Update, and Query Binary Causal Models
| add_dots | Helper to fill in missing do operators in causal expression |
| CausalQueries | 'CausalQueries' |
| CausalQueries_internal_inherit_params | Create parameter documentation to inherit |
| clean_statement | Helper to clean and check the validity of causal statements... |
| construct_commands_alter_at | make_par_values |
| construct_commands_other_args | make_par_values |
| construct_commands_param_names | make_par_values |
| data_helpers | Data helpers |
| democracy_data | Development and Democratization: Data for replication of... |
| draw_causal_type | Draw a single causal type given a parameter vector |
| expand_nodal_expression | Helper to expand nodal expression |
| get_all_data_types | Get all data types |
| get_estimands | helper to get estimands |
| get_event_probabilities | Draw event probabilities |
| get_parameter_matrix | Get parameter matrix |
| get_query_types | Look up query types |
| get_type_posteriors | helper to get type distributions |
| inspection | Helpers for inspecting causal models |
| institutions_data | Institutions and growth: Data for replication of analysis in... |
| interpret_type | Interpret or find position in nodal type |
| lipids_data | Lipids: Data for Chickering and Pearl replication |
| list_non_parents | Returns a list with the nodes that are not directly pointing... |
| make_dag | Helper to run a causal statement specifying a DAG into a... |
| make_data_single | Generate full dataset |
| make_model | Make a model |
| make_parameters_df | function to make a parameters_df from nodal types |
| make_par_values | make_par_values |
| make_par_values_stops | make_par_values_stops |
| make_prior_distribution | Make a prior distribution from priors |
| observe_data | Observe data, given a strategy |
| parameter_setting | Setting parameters |
| parents_to_int | Helper to turn parents_list into a list of data_realizations... |
| perm | Produces the possible permutations of a set of nodes |
| plot_model | Plots a DAG in ggplot style using a causal model input |
| prep_stan_data | Prepare data for 'stan' |
| print.causal_model | Print a short summary for a causal model |
| print.model_query | Print a tightened summary of model queries |
| prior_setting | Setting priors |
| query_distribution | Calculate query distribution |
| query_helpers | Query helpers |
| query_model | Generate data frame for batches of causal queries |
| query_to_expression | Helper to turn query into a data expression |
| realise_outcomes | Realise outcomes |
| reveal_outcomes | Reveal outcomes |
| set_confound | Set confound |
| set_parameter_matrix | Set parameter matrix |
| set_prior_distribution | Add prior distribution draws |
| set_restrictions | Restrict a model |
| summary.causal_model | Summarizing causal models |
| summary.model_query | Summarizing model queries |
| update_model | Fit causal model using 'stan' |
