A B C D E F G I J L M O P Q R S T U V W Z
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 DAG using AGES |
amat.cpdag | Types and Display of Adjacency Matrices in Package 'pcalg' |
amat.pag | Types and Display of Adjacency Matrices in Package 'pcalg' |
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 Variables |
causalEffect | Estimate Multiset of Possible Joint Total Causal Effects |
checkTriple | Check Consistency of Conditional Independence for a Triple of Nodes |
coerce-method | Types and Display of Adjacency Matrices in Package 'pcalg' |
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 Variables |
dreach | Compute D-SEP(x,y,G) |
dsep | Test for d-separation in a DAG |
dsepAM | Test for d-separation in a MAG |
dsepAMTest | Test for d-separation in a MAG |
dsepTest | Test for d-separation in a DAG |
EssGraph-class | Class '"EssGraph"' |
fci | Estimate a PAG with the FCI Algorithm |
fciAlgo-class | Class "fciAlgo" of FCI Algorithm Results |
fciPlus | Estimate a PAG with 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"' |
gaussCItest | Test Conditional Independence of Gaussians via Fisher's Z |
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 |
getGraph-method | Get the "graph" Part or Aspect of R Object |
getGraph-methods | 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 GIES |
global.mle-method | Class '"GaussL0penIntScore"' |
global.mle-method | Class '"GaussL0penObsScore"' |
global.score-method | Class '"GaussL0penIntScore"' |
global.score-method | Class '"GaussL0penObsScore"' |
gmB | Graphical Model 5-Dim Binary Example Data |
gmD | Graphical Model Discrete 5-Dim Example Data |
gmG | Graphical Model 8-Dimensional Gaussian Example Data |
gmG8 | Graphical Model 8-Dimensional Gaussian Example Data |
gmI | Graphical Model 7-dim IDA Data Examples |
gmI7 | Graphical Model 7-dim IDA Data Examples |
gmInt | Graphical Model 8-Dimensional Interventional Gaussian Example Data |
gmL | Latent Variable 4-Dim Graphical Model Data Example |
gSquareBin | G square Test for (Conditional) Independence of Binary Variables |
gSquareDis | G square Test for (Conditional) Independence of Discrete Variables |
ida | Estimate Multiset of Possible Joint Total Causal Effects |
idaFast | Multiset of Possible Total Causal Effects for Several Target Var.s |
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) |
lingam | Linear non-Gaussian Acyclic Models (LiNGAM) |
local.mle-method | Class '"GaussL0penIntScore"' |
local.mle-method | Class '"GaussL0penObsScore"' |
local.score-method | Class '"GaussL0penIntScore"' |
local.score-method | Class '"GaussL0penObsScore"' |
mat2targets | Conversion between an intervention matrix and a list of intervention targets |
mcor | Compute (Large) Correlation Matrix |
opt.target | Get an optimal intervention target |
optAdjSet | Compute the optimal adjustment set |
pag2anc | Reads off identifiable ancestors and non-ancestors from a directed PAG |
pag2conf | Reads off identifiable unconfounded node pairs from a directed PAG |
pag2edge | Reads off identifiable parents and non-parents from a directed PAG |
pag2magAM | Transform a PAG into a MAG in the Corresponding Markov Equivalence Class |
ParDAG-class | Class '"ParDAG"' of Parametric Causal Models |
pc | Estimate the Equivalence Class of a DAG using the PC Algorithm |
pc.cons.intern | Utility for conservative and majority rule in PC and FCI |
pcalg2dagitty | Transform the adjacency matrix from 'pcalg' into a 'dagitty' object |
pcAlgo | PC-Algorithm [OLD]: Estimate Skeleton or Equivalence Class of a DAG |
pcAlgo-class | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |
pcAlgo.Perfect | PC-Algorithm [OLD]: Estimate Skeleton or Equivalence Class of a DAG |
pcorOrder | Compute Partial Correlations |
pcSelect | PC-Select: Estimate subgraph around a response variable |
pcSelect.presel | Estimate Subgraph around a Response Variable using Preselection |
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 |
plot-method | Class '"EssGraph"' |
plot-method | Class '"ParDAG"' of Parametric Causal Models |
plot-method | Class "fciAlgo" of FCI Algorithm Results |
plot-method | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |
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 paths. |
print.fciAlgo | Class "fciAlgo" of FCI Algorithm Results |
print.pcAlgo | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |
qreach | Compute Possible-D-SEP(x,G) of a node x in a PDAG G |
r.gauss.pardag | Generate a Gaussian Causal Model Randomly |
randDAG | Random DAG Generation |
randomDAG | Generate a Directed Acyclic Graph (DAG) randomly |
rfci | Estimate an RFCI-PAG using the RFCI Algorithm |
rmvDAG | Generate Multivariate Data according to a DAG |
rmvnorm.ivent | Simulate from a Gaussian Causal Model |
Score-class | Virtual Class "Score" |
searchAM | Search for certain nodes in a DAG/CPDAG/MAG/PAG |
shd | Compute Structural Hamming Distance (SHD) |
show-method | Class "fciAlgo" of FCI Algorithm Results |
show-method | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |
show.fci.amat | Types and Display of Adjacency Matrices in Package 'pcalg' |
show.pc.amat | Types and Display of Adjacency Matrices in Package 'pcalg' |
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 Algorithm |
summary-method | Class "fciAlgo" of FCI Algorithm Results |
summary-method | Class "pcAlgo" of PC Algorithm Results, incl. Skeleton |
targets2mat | Conversion between an intervention matrix and a list of intervention targets |
triple2numb | Utility for conservative and majority rule in PC and FCI |
trueCov | Covariance matrix of a DAG. |
udag2apag | Last step of RFCI algorithm: Transform partially oriented graph into RFCI-PAG |
udag2pag | Last steps of FCI algorithm: Transform Final Skeleton into FCI-PAG |
udag2pdag | Last PC Algorithm Step: Extend Object with Skeleton to Completed PDAG |
udag2pdagRelaxed | Last PC Algorithm Step: Extend Object with Skeleton to Completed PDAG |
udag2pdagSpecial | Last PC Algorithm Step: Extend Object with Skeleton to Completed PDAG |
visibleEdge | Check visible edge. |
wgtMatrix | Weight Matrix of a Graph, e.g., a simulated DAG |
zStat | Test Conditional Independence of Gaussians via Fisher's Z |