This program `minmax.ordcorr`

checks the first condition of the
feasibility of a correlation matrix of ordinal random numbers. A mean vector (as list) needs to be specified. It returns yes/no if also a correlation matrix
was given and in either case the Min-Max Correlation Matrix, which has
the minimum correlation in the lower triangular matrix and the maximum
correlation in the upper triangular matrix.

1 | ```
minmax.ordcorr(probs, Cor = 0, n = 1e+06, showX = FALSE)
``` |

`probs` |
List of probabilities for the variables, length of probability equals number of items, length of list equals number of variables |

`Cor` |
Correlation matrix |

`n` |
Number of Observations |

`showX` |
If TRUE resulting correlation matrix is shown |

It returns yes/no if also a correlation matrix was given and in either case the Min-Max Correlation Matrix, which has the minimum correlation in the lower triangular matrix and the maximum correlation in the upper triangular matrix.

Dominik Traeger and Sebastian Kaiser

1 |

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