Description Usage Arguments Details Value Examples

Given two matrices *m_1* and *m_2*, computes all pairwise correlations of each
vector in *m_1* with each vector in *m_2*. Thanks to the package foreach,
computation can be done in parallel using the desired number of cores.

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`m1, m2` |
matrices whose columns are to be correlated. If no estimation calculations are needed, default is NA. |

`parallel` |
should the computations for associating the matrices be done in parallel? Default is FALSE |

`n_cor` |
number of cores to be used if the computation is run in parallel. Default is 1 |

`estimator` |
string indicating how the parameters |

`d1, d2` |
sets of vectors used to estimate |

`p11` |
probability that a bivariate observation is of the type (m,n), where m,n>0. |

`p01` |
probability that a bivariate observation is of the type (0,n), where n>0. |

`p10` |
probability that a bivariate observation is of the type (n,0), where n>0. |

To find pairwise monotonic associations of vectors within one set *m*, run
associate(*m*,*m*). Note that the values on the diagonal will not be necessarely
1 if the vectors contain 0's, as it can be seen by the formula *p_{11}^2 t_{11} + 2 * (p_{00} p_{11} - p_{01} p_{10})*

matrix of correlation values.

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