R: Tools for Causal Discovery on Observational Data

# Tools for Causal Discovery on Observational Data

## Documentation for package ‘causalDisco’ version 1.1.0

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

## Help Pages

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
list_registered_tetrad_algorithms | List Registered Tetrad Algorithms
make_method | Create a Custom Causal Discovery Method
make_runner | Create a Custom Runner for a Causal Discovery Algorithm
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