Make, Update, and Query Binary Causal Models

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Documentation for package ‘CausalQueries’ version 1.3.3

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

Help Pages

CausalQueries-package	'CausalQueries'
CausalQueries	'CausalQueries'
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'