R: Scalable Causal Discovery and Model Selection on Mixed Datasets with 'rCausalMGM'

# Scalable Causal Discovery and Model Selection on Mixed Datasets with 'rCausalMGM'

## Documentation for package ‘rCausalMGM’ version 1.0.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

adjMat2Graph | Convert an adjacency matrix into a graph
allMetrics | Combined graph recovery metrics
bootstrap | Runs bootstrapping for a causal graph on the dataset.
boss | Runs the BOSS causal discovery algorithm on the dataset
coxmgm | Calculate the CoxMGM graph on a dataset.
coxmgmCV | Implements k-fold cross-validation for CoxMGM
coxmgmPath | Estimates a solution path for CoxMGM
cpdag | Calculate the CPDAG for a given DAG
createKnowledge | A function to create a prior knowledge object for use with causal discovery algorithms
fciCV | Implements k-fold cross-validation for FCI-Stable
fciStable | Runs the causal discovery algorithm FCI-Stable on a dataset.
fciStars | Implements StARS for FCI-Stable
graphTable | A function to generate a data.frame for objects from graph class. It incorporates adjacency and orientation frequency if estimates of edge stability are available.
grasp | Runs the GRaSP causal discovery algorithm on the dataset
growShrinkMB | Implements Grow-Shrink algorithm for Markov blanket identification
loadGraph | Load a graph from a ".txt" file
mgm | Calculate the Mixed Graphical Model (MGM) graph on a dataset.
mgmCV | Implements k-fold cross-validation for MGM
mgmfciCV | Implements k-fold cross-validation for MGM-FCI-Stable
mgmPath | Estimates a solution path for MGM
mgmpcCV | Implements k-fold cross-validation for MGM-PC-Stable
moral | Calculate the moral graph for a given DAG
pag | Calculate the PAG for a given DAG and set of latent variables
pcCV | Implements k-fold cross-validation for PC-Stable
pcStable | Runs the causal discovery algorithm PC-Stable on a dataset.
pcStars | Implements StARS for PC-Stable
plot.graph | A plot override function for the graph class
plot.graphCV | A plot override function for the graphCV class
plot.graphPath | A plot override function for the graphPath class
plot.graphSTARS | A plot override function for the graphSTARS class
plot.graphSTEPS | A plot override function for the graphSTEPS class
print.graph | A print override function for the graph class
print.graphCV | A print override function for the graphCV class
print.graphPath | A print override function for the graphPath class
print.graphSTARS | A print override function for the graphSTARS class
print.graphSTEPS | A print override function for the graphSTEPS class
print.knowledge | A print override function for the knowledge class
printGraph | Display a graph object as text.
prMetrics | Combined adjaceny and orientation precision-recall metrics
prMetricsAdjacency | Adjacency Precision-Recall Metrics
prMetricsCausal | Causal Orientaion Precision-Recall Metrics for CPDAGs
prMetricsOrientation | Orientation Precision-Recall Metrics
saveGraph | Save a graph to a file. Supported file types are ".txt" and ".sif".
SHD | Structural Hamming Distance (SHD)
simRandomDAG | A function to simulate a random forward DAG from a SEM model.
skeleton | Calculate the undirected skeleton for a given DAG
steps | Implements StEPS and StARS for MGM