Mendelian Randomization (MR) Based PC Algorithm

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Documentation for package ‘MRPC’ version 2.0.0

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aSHD Adjusted Structural Hamming Distance (aSHD)
Case_1P Case for One Parent Generating Simulated Data
Case_2P Case for Two Parents Generating Simulated Data
Case_3P Case for Three Parent Generating Simulated Data
Case_NP Case for No Parent Generating Simulated Data
Cut_Modules Cut the Modules
Data_GEUVADIS Data from GEUVADIS
Data_withoutlier Example Data with outlier
Data_withoutoutlier Example Data without outliers
DendroModuleGraph Visualization of Nodes by Dendrogram with Modules and Inferred Graph
EdgeOrientation Edge Orientation Rules for the MRPC Algorithm
empty Check empty matrix
ExampleMRPC Example Data for Simple and Complex Model
Example_Outlier Impact of outliers on graph inference
InferenceAccuracyExample Comparison of inference accuracy with and without a v-structure
ModiSkeleton Draw Undirected Graph using the Modified Skeleton Function
mpinv Function of Calculate Inverse Matrix
MRPC Estimate a causal network using the MRPC Algorithm
MRPCclass-class Class of MRPC Algorithm Results
MRPCtruth Truth Models for MRPC Examples
plot-method Class of MRPC Algorithm Results
print.MRPCclass Class of MRPC Algorithm Results
Recall_Precision Performance Evaluation by Recall and Precision in MRPC
RobustCor Robust Correlation Matrix
seqDiff Deviation of the Two Sequnces
SeqFDR Sequential FDR
show-method Class of MRPC Algorithm Results
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 Multiple Parent Model
simu.data_starshaped Data for Star Model
SimulatedData Generating Simulated Data
SimulationDemo Same data but different node orderings.
summary-method Class of MRPC Algorithm Results