`proximityMatrix.Rd`

Creates a matrix of proximity values.

`proximityMatrix(trees, nRows, normalize = TRUE, reorder = TRUE, iter = NULL)`

trees | A list of tree attributes created by `extractTreeData` function. |
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nRows | Number of rows to consider. |

normalize | Default is TRUE. Divide the total number of pairs of observations by the number of trees. |

reorder | Default is TRUE. Whether to sort the matrix so high values are pushed to top left. |

iter | Which iteration to use, if NULL the proximity matrix is calculated over all iterations. |

A matrix containing proximity values.

if (FALSE) { df_trees <- extractTreeData(model = my_model, data = my_data) bmProx <- proximityMatrix(trees = df_trees, reorder = TRUE, normalize = TRUE, iter = 1) }