Data-Driven Causal Loop and Feedback Network Analysis

Documentation for package ‘CausalLoopAnalytics’ version 1.0.0

add_link	Add a directed causal link
add_variable	Add a variable to a causal-loop diagram
causal_matrix	Extract the causal adjacency matrix
classify_loops	Classify feedback loops as reinforcing or balancing
compare_cld	Compare two causal-loop models
create_cld	Create a causal-loop diagram
find_feedback_loops	Find unique directed feedback loops
granger_edges	Estimate pairwise Granger-style causal edges
identify_leverage_points	Identify potential leverage points from network and feedback structure
infer_causal_network	Infer a causal-loop network from time-series data
intervention_analysis	Simulate a structural causal intervention by propagating effects through paths
loop_stability	Bootstrap stability of feedback loops
loop_strength	Calculate multiplicative feedback-loop strength
network_summary	Summarize a signed causal network
plot_cld	Plot a signed causal-loop diagram
plot_loops	Plot feedback loop strength
prepare_data	Prepare a numeric time-series data set
remove_link	Remove a directed causal link
remove_variable	Remove a variable from a causal-loop diagram
summary_causal_loop	Summarize a causal-loop model
validate_cld	Validate a causal-loop model