successRegionSig {BayesRepDesign} | R Documentation |

## Success region based on significance

### Description

This function returns the success region for the (meta-analytic) replication effect estimate to achieve significance

### Usage

```
successRegionSig(sr, to, tau = 0, nsites = 1, level)
```

### Arguments

`sr` |
Replication standard error |

`to` |
Original effect estimate |

`tau` |
Heterogeneity standard deviation used in the calculation of the
meta-analytic replication effect estimate and its standard error.
Defaults to |

`nsites` |
nsites Number of sites, defaults to |

`level` |
Significance level for p-value of the (average) replication effect estimate (one-sided and in the same direction as the original effect estimate) |

### Value

An object of class `"successRegion"`

. See
`successRegion`

for details.

### 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

### Examples

```
successRegionSig(sr = 0.05, to = 0.2, tau = 0.01, nsites = 3, level = 0.025)
```

*BayesRepDesign*version 0.42 Index]