| AdjustMatrix | Adjust the columns of the input matrix same as in the reference matrix |
| aSHD | Adjusted structural hamming distance (aSHD) |
| CompareMethodsNodeOrdering | Comparison of inference accuracy using the same data but with different node orderings. |
| CompareMethodsVStructure | Comparison of inference accuracy of different methods on data with and without a v-structure |
| CutModules | Cut a numeric variable into intervals |
| data_examples | Example data under simple and complex models |
| data_GEUVADIS | GEUVADIS data with 62 eQTL-gene sets |
| data_GEUVADIS_combined | Combined genotype and gene expression data from 62 eQTL-gene sets in 373 Europeans from GEUVADIS |
| data_without_outliers | Example data without outliers |
| data_with_outliers | Example data with outliers |
| EdgeOrientation | Perform edge orientation under the MRPC algorithm |
| empty | Check empty matrix |
| IdentifyAssociatedPCs | Identifyprincipal components (PCs) that are significantly associated with eQTLs and genes |
| ModiSkeleton | Infer a graph skeleton (undirected graph) |
| mpinv | Calculate the inverse matrix |
| MRPC | Infer a causal network using the MRPC algorithm |
| MRPCclass-class | Class of MRPC algorithm results |
| MRPCtruth | Graphs used as truth in simulation |
| plot-method | Class of MRPC algorithm results |
| PlotDendrogram | Plot a dendrogram and display node groups in colored modules |
| PlotGraphWithModules | Plot a graph with nodes in modules indicated by colors |
| print.MRPCclass | Class of MRPC algorithm results |
| RecallPrecision | Calculate recall and precision for two graphs |
| RobustCor | Calculate robust correlation matrix |
| seqDiff | Deviation between two graphs represented by two sequences |
| SeqFDR | Sequential FDR |
| show-method | Class of MRPC algorithm results |
| SimulateData | Simulate data under certain graphs |
| SimulateData1P | Simulate data for a node with one parent |
| SimulateData2P | Simulate data for a node with two parents |
| SimulateData3P | Simulate data for a node with three parents |
| SimulateDataNP | Simulate data for a node with no parent |
| simu_data_layered | Data for the layered model |
| simu_data_M0 | Data for Model 0 |
| simu_data_M1 | Data for Model 1 |
| simu_data_M2 | Data for Model 2 |
| simu_data_M3 | Data for Model 3 |
| simu_data_M4 | Data for Model 4 |
| simu_data_multiparent | Data for the multiple-parent model |
| simu_data_starshaped | Data for the star model |
| summary-method | Class of MRPC algorithm results |