R: An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects

# An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects

## Documentation for package ‘causaloptim’ version 0.9.8

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

## Help Pages

causaloptim-package | An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
analyze_graph | Analyze the causal graph and effect to determine constraints and objective
causaloptim | An Interface to Specify Causal Graphs and Compute Bounds on Causal Effects
causalproblemcheck | Check conditions on causal problem
constraintscheck | Check constraints
create_effect_vector | Translate target effect to vector of response variables
create_q_matrix | Translate response functions into matrix of counterfactuals
create_response_function | Translate regular DAG to response functions
create_R_matrix | Create constraint matrix
get_default_effect | Define default effect for a given graph
graphrescheck | Check conditions on digraph
interpret_bounds | Convert bounds string to a function
latex_bounds | Latex bounds equations
optimize_effect | Run the Balke optimizer
optimize_effect_2 | Run the optimizer
opt_effect | Compute a bound on the average causal effect
parse_constraints | Parse text that defines a the constraints
parse_effect | Parse text that defines a causal effect
plot.linearcausalproblem | Plot the graph from the causal problem with a legend describing attributes
plot_graphres | Plot the analyzed graph object
print.linearcausalproblem | Print the causal problem
querycheck | Check conditions on query
simulate_bounds | Simulate bounds
specify_graph | Shiny interface to specify network structure and compute bounds
update_effect | Update the effect in a linearcausalproblem object