ccacontrol {ConsRankClass} | R Documentation |

Utility function to use to set the control arguments of `cca`

```
ccacontrol(
algorithm = "quick",
full = FALSE,
itercca = 1,
consrankitermax = 10,
np = 15,
gl = 100,
ff = 0.4,
cr = 0.9,
proc = FALSE,
ps = FALSE
)
```

`algorithm` |
The algorithm used to compute the median ranking. One among"BB", "quick" (default), "fast" and "decor" |

`full` |
Specifies if the median ranking must be searched in the universe of rankings including all the possible ties. Default: FALSE |

`itercca` |
Number of iterations of cca |

`consrankitermax` |
Number of iterations for "fast" and "decor" algorithms. itermax=10 is the default option. |

`np` |
(for "decor" only) the number of population individuals. np=15 is the default option. |

`gl` |
(for"decor" only) generations limit, maximum number of consecutive generations without improvement. gl=100 is the default option. |

`ff` |
(for"decor" only) the scaling rate for mutation. Must be in [0,1]. ff=0.4 is the default option. |

`cr` |
(for"decor" only) the crossover range. Must be in [0,1]. cr=0.9 is the default option. |

`proc` |
(for "BB" only) proc=TRUE allows the branch and bound algorithm to work in difficult cases, i.e. when the number of objects is larger than 15 or 25. proc=FALSE is the default option |

`ps` |
If PS=TRUE, on the screen some information about how many branches are processed are displayed. Default value: FALSE |

A list containing all the control parameters

Antonio D'Ambrosio antdambr@unina.it

[Package *ConsRankClass* version 1.0.1 Index]