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