R: Make, Update, and Query Binary Causal Models

# Make, Update, and Query Binary Causal Models

## Documentation for package ‘CausalQueries’ version 1.4.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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