MRPCtruth: Graphs used as truth in simulation

In MRPC: PC Algorithm with the Principle of Mendelian Randomization

Graphs used as truth in simulation

Description

Topologies of the five basic models and three common graphs in biology: namely the multi-parent graph, the star graph and the layered graph. See details in Badsha and Fu (2019).

Author(s)

Md Bahadur Badsha ([e-mail])

References

1. Badsha MB and Fu AQ (2019). Learning causal biological networks with the principle of Mendelian randomization. Frontiers in Genetics, 10:460.

Examples

## Not run: 
data("MRPCtruth") # load data

# Plots
par(mfrow = c(2, 4))
plot(MRPCtruth$M0,
     main = "Model0")
plot(MRPCtruth$M1,
     main = "Model1")
plot(MRPCtruth$M2,
     main = "Model2")
plot(MRPCtruth$M3,
     main = "Model3")
plot(MRPCtruth$M4,
     main = "Model4")
plot(MRPCtruth$Multiparent,
     main = "Multiparent")
plot(MRPCtruth$Star,
     main = "Star")
plot(MRPCtruth$Layered,
     main = "Layered")
     

## End(Not run)

MRPC documentation built on Sept. 14, 2025, 1:08 a.m.