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