Methods for Graphical Models and Causal Inference

addBgKnowledge | Add background knowledge to a CPDAG or PDAG |

adjustment | Compute adjustment sets for covariate adjustment. |

ages | Estimate an APDAG within the Markov equivalence class of a... |

amatType | Types and Display of Adjacency Matrices in Package 'pcalg' |

backdoor | Find Set Satisfying the Generalized Backdoor Criterion (GBC) |

beta.special | Compute set of intervention effects |

beta.special.pcObj | Compute set of intervention effects in a fast way |

binCItest | G square Test for (Conditional) Independence of Binary... |

checkTriple | Check Consistency of Conditional Independence for a Triple of... |

compareGraphs | Compare two graphs in terms of TPR, FPR and TDR |

condIndFisherZ | Test Conditional Independence of Gaussians via Fisher's Z |

corGraph | Computing the correlation graph |

dag2cpdag | Convert a DAG to a CPDAG |

dag2essgraph | Convert a DAG to an Essential Graph |

dag2pag | Convert a DAG with latent variables into a PAG |

disCItest | G square Test for (Conditional) Independence of Discrete... |

dreach | Compute D-SEP(x,y,G) |

dsep | Test for d-separation in a DAG |

dsepTest | Test for d-separation in a DAG |

EssGraph-class | Class '"EssGraph"' |

fci | Estimate a PAG by the FCI Algorithm |

fciAlgo-class | Class "fciAlgo" of FCI Algorithm Results |

fciPlus | Estimate a PAG by the FCI+ Algorithm |

find.unsh.triple | Find all Unshielded Triples in an Undirected Graph |

gac | Test If Set Satisfies Generalized Adjustment Criterion (GAC) |

gAlgo-class | Class '"gAlgo"' |

GaussL0penIntScore-class | Class '"GaussL0penIntScore"' |

GaussL0penObsScore-class | Class '"GaussL0penObsScore"' |

GaussParDAG-class | Class '"GaussParDAG"' of Gaussian Causal Models |

gds | Greedy DAG Search to Estimate Markov Equivalence Class of DAG |

ges | Estimate the Markov equivalence class of a DAG using GES |

getGraph | Get the "graph" Part or Aspect of R Object |

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

gies | Estimate Interventional Markov Equivalence Class of a DAG by... |

gmB | Graphical Model 5-Dim Binary Example Data |

gmD | Graphical Model Discrete 5-Dim Example Data |

gmG | Graphical Model 8-Dimensional Gaussian Example Data |

gmI | Graphical Model 7-dim IDA Data Examples |

gmInt | Graphical Model 8-Dimensional Interventional Gaussian Example... |

gmL | Latent Variable 4-Dim Graphical Model Data Example |

ida | Estimate Multiset of Possible Total Causal Effects |

idaFast | Multiset of Possible Total Causal Effects for Several Target... |

iplotPC | Plotting a pcAlgo object using the package igraph |

isValidGraph | Check for a DAG, CPDAG or a maximally oriented PDAG |

jointIda | Estimate Multiset of Possible Total Joint Effects |

legal.path | Check if a 3-node-path is Legal |

LINGAM | Linear non-Gaussian Acyclic Models (LiNGAM) |

mat2targets | Conversion between an intervention matrix and a list of... |

mcor | Compute (Large) Correlation Matrix |

pag2mag | Transform a PAG into a MAG in the Corresponding Markov... |

ParDAG-class | Class '"ParDAG"' of Parametric Causal Models |

pc | Estimate the Equivalence Class of a DAG using the PC... |

pcalg2dagitty | Transform the adjacency matrix from 'pcalg' into a 'dagitty'... |

pcalg-internal | Internal Pcalg Functions |

pcAlgo | PC-Algorithm [OLD]: Estimate Skeleton or Equivalence Class of... |

pcAlgo-class | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |

pc.cons.intern | Utility for conservative and majority rule in PC and FCI |

pcorOrder | Compute Partial Correlations |

pcSelect | PC-Select: Estimate subgraph around a response variable |

pcSelect.presel | Estimate Subgraph around a Response Variable using... |

pdag2allDags | Enumerate All DAGs in a Markov Equivalence Class |

pdag2dag | Extend a Partially Directed Acyclic Graph (PDAG) to a DAG |

pdsep | Estimate Final Skeleton in the FCI algorithm |

plotAG | Plot partial ancestral graphs (PAG) |

plotSG | Plot the subgraph around a Specific Node in a Graph Object |

possAn | Find possible ancestors of given node(s). |

possDe | Find possible descendants of given node(s). |

possibleDe | [DEPRECATED] Find possible descendants on definite status... |

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

randDAG | Random DAG Generation |

randomDAG | Generate a Directed Acyclic Graph (DAG) randomly |

rfci | Estimate an RFCI-PAG using the RFCI Algorithm |

r.gauss.pardag | Generate a Gaussian Causal Model Randomly |

rmvDAG | Generate Multivariate Data according to a DAG |

rmvnorm.ivent | Simulate from a Gaussian Causal Model |

Score-class | Virtual Class "Score" |

shd | Compute Structural Hamming Distance (SHD) |

showAmat | Show Adjacency Matrix of pcAlgo object |

showEdgeList | Show Edge List of pcAlgo object |

simy | Estimate Interventional Markov Equivalence Class of a DAG |

skeleton | Estimate (Initial) Skeleton of a DAG using the PC / PC-Stable... |

trueCov | Covariance matrix of a DAG. |

udag2apag | Last step of RFCI algorithm: Transform partially oriented... |

udag2pag | Last steps of FCI algorithm: Transform Final Skeleton into... |

udag2pdag | Last PC Algorithm Step: Extend Object with Skeleton to... |

visibleEdge | Check visible edge. |

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

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