Package index
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CausalQueries - 'CausalQueries'
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collapse_data()expand_data()make_data()make_events() - Data helpers
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democracy_data - Development and Democratization: Data for replication of analysis in *Integrated Inferences*
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draw_causal_type() - Draw a single causal type given a parameter vector
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get_all_data_types() - Get all data types
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get_event_probabilities() - Draw event probabilities
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get_query_types() - Look up query types
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institutions_data - Institutions and growth: Data for replication of analysis in *Integrated Inferences*
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interpret_type() - Interpret or find position in nodal type
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lipids_data - Lipids: Data for Chickering and Pearl replication
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make_model() - Make a model
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make_parameters()set_parameters()get_parameters() - Setting parameters
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print(<causal_model>) - Print a short summary for a causal model
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print(<model_query>) - Print a tightened summary of model queries
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make_priors()set_priors()get_priors() - Setting priors
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query_distribution() - Calculate query distribution
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increasing()non_decreasing()decreasing()non_increasing()interacts()complements()substitutes()te() - Query helpers
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query_model() - Generate estimands data frame
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realise_outcomes() - Realise outcomes
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set_confound() - Set confound
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set_prior_distribution() - Add prior distribution draws
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set_restrictions() - Restrict a model
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summary(<causal_model>)print(<summary.causal_model>) - Summarizing causal models
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summary(<model_query>)print(<summary.model_query>) - Summarizing model queries
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update_model() - Fit causal model using 'stan'