# Pairwise comparison of algorithm performances

### Description

Pairwise comparison of algorithm performances

### Usage

1 |

### Arguments

`x` |
An |

`family` |
A |

`type` |
Draw strict or indifference decision |

`...` |
Ignored |

### Details

Available `TestPaircomp`

implementations:

`FriedmanTestPaircomp` | Pairwise comparison based on the non parametric friedman test |

`LmerTestPaircomp` | Pairwise comparison based on a
mixed effects model (function `lmer` in package
`lme4` ) |

`PercintTestPaircomp` | Pairwise comparison based on the bootstrap percentile intervals |

Available `PointPaircomp`

implementations:

`GenericPointPaircomp` | Pairwise comparison based on point estimates. |

### Value

A `PaircompDecision`

object; a list with the elements:

`decision` | The incidence matrix representing the pairwise comparisons |

`type` | The decision type |

`base` | A list with information on the decision base |

### References

See *Eugster and Leisch (2008)* and *Eugster et
al. (2008)* in `citation("benchmark")`

.