Description Usage Arguments Details Value Examples

Returns the Bradley's scores of the different items and the value of the LogLikelihood

1 |

`Matpair` |
Matrix of the cumulative sum of the results of paired comparisons or object of class |

`Constraint` |
Kind of constraint on Bradley's scores. If |

`eps1` |
value to take into account for the convergence criteria of the algorithm of |

`Pi` |
Initial values for Bradley's scores. If |

`TestPi` |
Indicate if the user wants to perform a multiple comparison tests on the Bradley's scores. |

`Zht` |
Indicate the individuals probabilities to belong to the different classes. |

The algorithm is based on a maximum likelihood approach using Dykstra method.

List of following components:

`Pi ` |
Bradley's scores |

`lnL ` |
value of the log-likelihood |

`lvrHO` |
value of the log-likelihood under the hypothesis of equal values for the Bradley's scores |

`lvrH1` |
value of the log-likelihood at the end of the Bradley's scores estimation algorithm |

`lRatio` |
value of the likelihood ration statistic |

`Pvalue` |
Pvalue of the test |

`H1` |
logical value, FALSE if Bradley's scores should be considered as equal, TRUE otherwise |

`VarcovPi` |
Matrix of covariances of Bradley's scores |

`restestij` |
Matrix of the following elements |

1 2 3 | ```
data(Cocktail_Cum)
res<-C_piBTL(Cocktail_Cum,Constraint=0,eps1=1e-04,Pi=NULL,TestPi=TRUE)
res
``` |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

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