R: PC Algorithm with the Principle of Mendelian Randomization

# PC Algorithm with the Principle of Mendelian Randomization

## Documentation for package ‘MRPC’ version 3.2.0

- DESCRIPTION file
- Package README

## Help Pages

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-method | 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