| 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 |