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