View source: R/network.summary.R

network.inconsistency.plot | R Documentation |

This function compares posterior mean deviance of inconsistency model and consistency model. Such comparison provides information that can help identify the loops in which inconsistency is present.

```
network.inconsistency.plot(result1, result2, with.label = T)
```

`result1` |
consistency model result from running |

`result2` |
inconsistency model result from running |

`with.label` |
indicator to show the study number; default is true. |

This function draws network graph using igraph package

None

S. Dias, N.J. Welton, A.J. Sutton, D.M. Caldwell, G. Lu, and A.E. Ades (2013), *Evidence synthesis for decision making 4: inconsistency in networks of evidence based on randomized controlled trials*, Medical Decision Making 33(5):641-656. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0272989X12455847")}

```
network1 <- with(smoking, {
network.data(Outcomes, Study, Treat, N = N, response = "binomial", type = "random")
})
network2 <- with(smoking, {
ume.network.data(Outcomes, Study, Treat, N = N, response = "binomial", type = "random")
})
result1 <- network.run(network1)
result2 <- ume.network.run(network2)
network.inconsistency.plot(result1, result2)
```

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