relative.effects {bnma} | R Documentation |

## Find relative effects for base treatment and comparison treatments

### Description

This function calculates relative effects for base treatment and comparison treatments.

### Usage

```
relative.effects(
result,
base.treatment = NULL,
comparison.treatments = NULL,
base.category = NULL,
comparison.categories = NULL,
covariate = NULL
)
```

### Arguments

`result` |
Object created by |

`base.treatment` |
Base treatment user wants for the relative effects. Base treatment is initially set by |

`comparison.treatments` |
Treatments that user wants to compare against base treatment. If set to null, all the treatments besides base treatment is considered as comparison treatments. |

`base.category` |
Base category user wants for the relative effects. Only used for multinomial data. |

`comparison.categories` |
Category that user wants to compare against base.category. Only used for multinomial data. |

`covariate` |
Covariate value at which to compute relative effects. Only used if covariate value is specified in the model. |

### Value

This returns a mcmc.list sample of relative effects for the base treatment specified. This allows user to obtain relative effects of different base.treatment after the sampling has been done.
For a simple summary, use `relative.effects.table`

.

### See Also

### Examples

```
network <- with(parkinsons, {
network.data(Outcomes, Study, Treat, SE = SE, response = "normal")
})
result <- network.run(network)
summary(relative.effects(result, base.treatment = "Placebo"))
```

*bnma*version 1.6.0 Index]