successRegion {BayesRepDesign} | R Documentation |

## Success region for replication effect estimate

### Description

Creates a success region object which can then be used for
computing the probability of replication success with `pors`

.

### Usage

```
successRegion(intervals)
```

### Arguments

`intervals` |
A 2xN matrix containing N disjoint intervals, the first column containing the lower and the second column containing the upper limits |

### Value

Returns an object of class `"successRegion"`

which is a matrix
containing the success intervals sorted in ascending order

### Author(s)

Samuel Pawel

### References

Pawel, S., Consonni, G., and Held, L. (2022). Bayesian approaches to designing replication studies. arXiv preprint. doi:10.48550/arXiv.2211.02552

### See Also

### Examples

```
successRegion(intervals = rbind(c(1.96, Inf), c(-Inf, -1.96)))
successRegion(intervals = cbind(1.96, Inf))
```

[Package

*BayesRepDesign*version 0.42 Index]