Description Usage Arguments Value References Examples

Function to compute a matrix of kappa-type coefficients to assess the reliability of nominal variables (Roberts & McNamee, 1998).

1 2 | ```
Kappa.Matrix(df, FleissKappa = F, CI.est = F, N.bt = 1000, parallel = F,
NrCores = detectCores - 1)
``` |

`df` |
A dataframe or matrix of N x P with N the number of observations and P the number of raters. |

`FleissKappa` |
Logical, indicates if Fleiss' Kappa has to be calculated. |

`CI.est` |
Logical, indicates if confidence intervals using bootstrapping have to be calculated. |

`N.bt` |
Number of bootstrap samples. |

`parallel` |
Logical, indicates if parallel computing has to be used. |

`NrCores` |
Number of cores if parallel computing is used. Default is 1 core less than the number of cores present. |

A list containing the kappa-matrix and Fleiss' Kappa if asked for.

Roberts C., McNamee R. (1998). A matrix of kappa-type coefficients to assess the reliability of
nominal scales. *Statistics in medicine*, Vol.17(4), pp.471-88

1 2 |

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