# Pairwise associations

### Description

Computes pairwise associations between every row (species) in a species x site matrix. Note that usage of this function is advantageous when non-symmetric association metrics are desired, but the pairwise computation will prevent accounting for indirect effects between species. As such this function should be considered preliminary, and its use experimental.

### Usage

1 | ```
pairwise_association(mat, method = "condentropy")
``` |

### Arguments

`mat` |
A m x n (species x site) matrix |

`method` |
The name of a function to call to calculate an association score. Must take two vector arguments (X,Y) and return a single numeric value. Default argument uses conditional information entropy statistic, although other functions (e.g. Jaccard similarity) are possible. |

### Value

A n x n (species x species) matrix with NA diagonal values. May be non-symmetric depending on the method used.

### Examples

1 2 3 4 5 6 7 |