Description Usage Arguments Value

Calculates the mean or median sample estimates of all
pair-wise differences within a factor. Can be set
compute the maximum Bayes factors (MBFs) and indicate
which of the comparisons are statistically
significant after controlling the false discovery rate, if the number of bootstrap repetition (`B`

) is set to greater than 0.

1 |

`data` |
dataframe. Contains numeric variable named 'resp' for responses and character variable named 'group' containing factor levels. c |

`calcStat` |
function olr character. Bootstrap statistic function. Functions other than mean or median used at own risk. |

`alpha` |
numeric. 1- |

`B` |
integer. Number of bootstrap samples per subgroup. If equal to zero, then the MBF is not calculated. |

`fdr` |
numeric. False discovery rate. |

`method` |
'bca' for BCa or 'perc' for percentile. Bootstrap confidence interval and |

A tibble of the comparison groups and estimates of differences in `calcStat`

, as well as the confidence intervals and MBFs if bootstrapping was performed.

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