pcalg

Class "EssGraph"

Class "GaussL0penIntScore"

Class "GaussL0penObsScore"

Class "GaussParDAG" of Gaussian Causal Models

Linear non-Gaussian Acyclic Models (LiNGAM)

Class "ParDAG" of Parametric Causal Models

Virtual Class "Score"

Add background knowledge to a CPDAG or PDAG

Compute adjustment sets for covariate adjustment.

Estimate an APDAG within the Markov equivalence class of a DAG using AGES

Types and Display of Adjacency Matrices in Package 'pcalg'

Find Set Satisfying the Generalized Backdoor Criterion (GBC)

Compute set of intervention effects

Compute set of intervention effects in a fast way

G square Test for (Conditional) Independence of Binary Variables

Check Consistency of Conditional Independence for a Triple of Nodes

Compare two graphs in terms of TPR, FPR and TDR

Test Conditional Independence of Gaussians via Fisher's Z

Computing the correlation graph

Convert a DAG to a CPDAG

Convert a DAG to an Essential Graph

Convert a DAG with latent variables into a PAG

G square Test for (Conditional) Independence of Discrete Variables

Compute D-SEP(x,y,G)

Test for d-separation in a DAG

Test for d-separation in a MAG

Test for d-separation in a MAG

Test for d-separation in a DAG

Estimate a PAG with the FCI Algorithm

Class "fciAlgo" of FCI Algorithm Results

Estimate a PAG with the FCI+ Algorithm

Find all Unshielded Triples in an Undirected Graph

Class "gAlgo"

Test If Set Satisfies Generalized Adjustment Criterion (GAC)

Greedy DAG Search to Estimate Markov Equivalence Class of DAG

Estimate the Markov equivalence class of a DAG using GES

Get the "graph" Part or Aspect of R Object

Iteration through a list of all combinations of choose(n,k)

Estimate Interventional Markov Equivalence Class of a DAG by GIES

Graphical Model 5-Dim Binary Example Data

Graphical Model Discrete 5-Dim Example Data

Graphical Model 8-Dimensional Gaussian Example Data

Graphical Model 7-dim IDA Data Examples

Graphical Model 8-Dimensional Interventional Gaussian Example Data

Latent Variable 4-Dim Graphical Model Data Example

Estimate Multiset of Possible Joint Total Causal Effects

Multiset of Possible Total Causal Effects for Several Target Var.s

Plotting a pcAlgo object using the package igraph

Check for a DAG, CPDAG or a maximally oriented PDAG

Estimate Multiset of Possible Total Joint Effects

Check if a 3-node-path is Legal

Conversion between an intervention matrix and a list of intervention targets

Compute (Large) Correlation Matrix

Get an optimal intervention target

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

Transform a PAG into a MAG in the Corresponding Markov Equivalence Class

Estimate the Equivalence Class of a DAG using the PC Algorithm

Utility for conservative and majority rule in PC and FCI

PC-Algorithm [OLD]: Estimate Skeleton or Equivalence Class of a DAG

Class "pcAlgo" of PC Algorithm Results, incl. Skeleton

PC-Select: Estimate subgraph around a response variable

Estimate Subgraph around a Response Variable using Preselection

Internal Pcalg Functions

Transform the adjacency matrix from pcalg into a dagitty object

Compute Partial Correlations

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

Plot partial ancestral graphs (PAG)

Plot the subgraph around a Specific Node in a Graph Object

Find possible ancestors of given node(s).

Find possible descendants of given node(s).

[DEPRECATED] Find possible descendants on definite status paths.

Compute Possible-D-SEP(x,G) of a node x in a PDAG G

Generate a Gaussian Causal Model Randomly

Random DAG Generation

Generate a Directed Acyclic Graph (DAG) randomly

Estimate an RFCI-PAG using the RFCI Algorithm

Generate Multivariate Data according to a DAG

Simulate from a Gaussian Causal Model

Search for certain nodes in a DAG/CPDAG/MAG/PAG

Compute Structural Hamming Distance (SHD)

Show Adjacency Matrix of pcAlgo object

Show Edge List of pcAlgo object

Estimate Interventional Markov Equivalence Class of a DAG

Estimate (Initial) Skeleton of a DAG using the PC / PC-Stable Algorithm

Covariance matrix of a DAG.

Last step of RFCI algorithm: Transform partially oriented graph into RFCI-PAG

Last steps of FCI algorithm: Transform Final Skeleton into FCI-PAG

Last PC Algorithm Step: Extend Object with Skeleton to Completed PDAG

Check visible edge.

Weight Matrix of a Graph, e.g., a simulated DAG