Tools for Causal Discovery on Observational Data


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Documentation for package ‘causalDisco’ version 1.0.1

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causalDisco-package causalDisco: Causal Discovery in R
+.Knowledge Merge Knowledge Objects
add_exo Add Exogenous Variables to Knowledge
add_exogenous Add Exogenous Variables to Knowledge
add_tier Add a Tier to Knowledge
add_to_tier Add Variables to a Tier in Knowledge
add_vars Add Variables to Knowledge
as_bnlearn_knowledge Convert Knowledge to bnlearn Knowledge
as_pcalg_constraints Convert Knowledge to pcalg Knowledge
as_tetrad_knowledge Convert Knowledge to Tetrad Knowledge
BnlearnSearch R6 Interface to bnlearn Search Algorithms
boss BOSS Algorithm for Causal Discovery
boss_fci BOSS-FCI Algorithm for Causal Discovery
cat_data Simulated Categorical Data
cat_data_mcar Simulated Categorical Data with MCAR
cat_ord_data Simulated Ordered Categorical Data
causalDisco causalDisco: Causal Discovery in R
CausalDiscoSearch R6 Interface to causalDisco Search Algorithms
confusion Confusion Matrix
convert_tiers_to_forbidden Convert Tiered Knowledge to Forbidden Knowledge
cor_test Test for Vanishing Partial Correlations
deparse_knowledge Deparse a Knowledge Object into Knowledge DSL Code
disco Perform Causal Discovery
distribute_engine_args Distribute and Validate Engine Arguments
evaluate Evaluate Causal Graph Estimates
f1_score F1 score
false_omission_rate False Omission Rate
fast_iamb IAMB Family of Causal Discovery Algorithms
fci FCI Algorithm for Causal Discovery
fdr False Discovery Rate
forbid_edge Add Forbidden Edges to Knowledge
g1_score G1 score
generate_dag_data Generate Synthetic Data from a Linear Gaussian DAG
ges GES Algorithm for Causal Discovery
get_tiers Get Tiers from Knowledge
gfci GFCI Algorithm for Causal Discovery
grasp GRaSP Algorithm for Causal Discovery
grasp_fci GRaSP-FCI Algorithm for Causal Discovery
gs GS Algorithm for Causal Discovery
iamb IAMB Family of Causal Discovery Algorithms
iamb-family IAMB Family of Causal Discovery Algorithms
iamb_fdr IAMB Family of Causal Discovery Algorithms
install_tetrad Install Tetrad GUI
inter_iamb IAMB Family of Causal Discovery Algorithms
knowledge Define Background Knowledge
knowledge_to_caugi Convert Knowledge to Caugi
make_tikz Generate TikZ Code from a Causal Graph
mix_data Simulated Mixed Data
new_disco_method Add a New causalDisco Method
npv Negative Predictive Value
num_data Simulated Numerical Data
num_data_latent Simulated Numerical Data with Latent Variable
pc PC Algorithm for Causal Discovery
PcalgSearch R6 Interface to pcalg Search Algorithms
plot Plot Method for causalDisco Objects
plot.Disco Plot a Disco Object
plot.Knowledge Plot a Knowledge Object
precision Precision
print.Disco Print a Disco Object
print.Knowledge Print a Knowledge Object
recall Recall
register_tetrad_algorithm Register a New Tetrad Algorithm
reg_test Regression-based Information Loss Test
remove_edge Remove an Edge from Knowledge
remove_tiers Remove Tiers from Knowledge
remove_vars Remove Variables from Knowledge
reorder_tiers Reorder Tiers in Knowledge
reposition_tier Move a Tier Relative to Another in Knowledge
require_edge Add Required Edges to Knowledge
reset_tetrad_alg_registry Reset the Tetrad Algorithm Registry
seq_tiers Generate a Bundle of Tier–Variable Formulas
set_knowledge Set Background Knowledge to Disco Method
set_knowledge.disco_method Set Background Knowledge to Disco Method
sim_dag Simulate a Random DAG
specificity Specificity
sp_fci SP-FCI Algorithm for Causal Discovery
summary.Disco Summarize a Disco Object
summary.Knowledge Summarize a Knowledge Object
TetradSearch R6 Interface to Tetrad Search Algorithms
tfci TFCI Algorithm for Causal Discovery
tfci_run Run the TFCI Algorithm for Causal Discovery
tges TGES Algorithm for Causal Discovery
tges_run Run the TGES Algorithm for Causal Discovery
tpc TPC Algorithm for Causal Discovery
tpc_example Simulated Life-Course Data
tpc_run Run the TPC Algorithm for Causal Discovery
unfreeze Unfreeze a Knowledge Object.
verify_tetrad Check Tetrad Installation