Description Usage Arguments Value Author(s) See Also Examples

Simulates one or many sequential testing with evidence ratios from independent two-groups comparisons, as a function of sample size and standardized mean difference. Evidence ratios are computed from the so-called Akaike weights from either the Akaike Information Criterion or the Bayesian Information Criterion.

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`cohensd` |
Expected effect size |

`nmin` |
Minimum sample size from which start computing ERs |

`nmax` |
Maximum sample size at which stop computing ERs |

`boundary` |
The Evidence Ratio (or its reciprocal) at which the run is stopped as well |

`nsims` |
Number of simulated samples (should be dividable by cores) |

`ic` |
Indicates whether to use the aic or the bic |

`cores` |
Number of parallel processes. If cores is set to 1, no parallel framework is used (default is two cores). |

`verbose` |
Show output about progress |

An object of class `data.frame`

, which contains...

Ladislas Nalborczyk <ladislas.nalborczyk@gmail.com>

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