Computing the correlation graph
Check Consistency of Conditional Independence for a Triple of Nodes
Convert a DAG to a CPDAG
G square Test for (Conditional) Independence of Binary Variables
Compute set of intervention effects
Types and Display of Adjacency Matrices in Package 'pcalg'
Test Conditional Independence of Gaussians via Fisher's Z
Compute set of intervention effects in a fast way
Compare two graphs in terms of TPR, FPR and TDR
Find Set Satisfying the Generalized Backdoor Criterion (GBC)
Test for d-separation in a DAG
Test for d-separation in a DAG
Compute D-SEP(x,y,G)
G square Test for (Conditional) Independence of Discrete Variables
Convert a DAG with latent variables into a PAG
Estimate a PAG by the FCI+ Algorithm
Convert a DAG to an Essential Graph
Estimate a PAG by the FCI Algorithm
Class "EssGraph"
Class "fciAlgo" of FCI Algorithm Results
Class "GaussL0penObsScore"
Greedy DAG Search to Estimate Markov Equivalence Class of DAG
Class "GaussL0penIntScore"
Iteration through a list of all combinations of choose(n,k)
Test If Set Satisfies Generalized Adjustment Criterion (GAC)
Get the "graph" Part or Aspect of R Object
Find all Unshielded Triples in an Undirected Graph
Class "gAlgo"
Class "GaussParDAG"
of Gaussian Causal Models
Estimate the Markov equivalence class of a DAG using GES
Plotting a pcAlgo object using the package igraph
Graphical Model Discrete 5-Dim Example Data
Graphical Model 5-Dim Binary Example Data
Latent Variable 4-Dim Graphical Model Data Example
Estimate Interventional Markov Equivalence Class of a DAG by GIES
Graphical Model 8-Dimensional Gaussian Example Data
Multiset of Possible Total Causal Effects for Several Target Var.s
Graphical Model 7-dim IDA Data Examples
Graphical Model 8-Dimensional Interventional Gaussian Example Data
Estimate Multiset of Possible Total Causal Effects
Compute (Large) Correlation Matrix
Internal Pcalg Functions
Linear non-Gaussian Acyclic Models (LiNGAM)
Class "ParDAG"
of Parametric Causal Models
Estimate the Equivalence Class of a DAG using the PC Algorithm
Conversion between an intervention matrix and a list of intervention
targets
Utility for conservative and majority rule in PC and FCI
Check if a 3-node-path is Legal
Transform a PAG into a MAG in the Corresponding Markov Equivalence Class
Estimate Multiset of Possible Total Joint Effects
PC-Select: Estimate subgraph around a response variable
Enumerate All DAGs in a Markov Equivalence Class
Extend a Partially Directed Acyclic Graph (PDAG) to a DAG
Estimate Final Skeleton in the FCI algorithm
PC-Algorithm [OLD]: Estimate Skeleton or Equivalence Class of a DAG
Compute Partial Correlations
Plot the subgraph around a Specific Node in a Graph Object
Estimate Subgraph around a Response Variable using Preselection
Class "pcAlgo" of PC Algorithm Results, incl. Skeleton
Plot partial ancestral graphs (PAG)
Generate a Directed Acyclic Graph (DAG) randomly
Generate a Gaussian Causal Model Randomly
Find possible descendants on definite status paths.
Simulate from a Gaussian Causal Model
Estimate an RFCI-PAG using the RFCI Algorithm
Compute Possible-D-SEP(x,G) of a node x in a PDAG G
Virtual Class "Score"
Generate Multivariate Data according to a DAG
Compute Structural Hamming Distance (SHD)
Random DAG Generation
Show Edge List of pcAlgo object
Estimate Interventional Markov Equivalence Class of a DAG
Check visible edge.
Estimate (Initial) Skeleton of a DAG using the PC / PC-Stable Algorithm
Last PC Algorithm Step: Extend Object with Skeleton to Completed PDAG
Covariance matrix of a DAG.
Uniform Sampling of Directed Acyclic Graphs (DAG)
Last steps of FCI algorithm: Transform Final Skeleton into FCI-PAG
Show Adjacency Matrix of pcAlgo object
Last step of RFCI algorithm: Transform partially oriented graph into RFCI-PAG
Weight Matrix of a Graph, e.g., a simulated DAG