Simulate a permutation null distribution (per input data and testing parameters) for the global test statistics. See vignettes for examples of usage.

1 2 3 | ```
permNullTest(perm.null.sim = 10000L, xy, x = x, y = y, fit,
parts = 4L, save.perm.null = FALSE, perm.null.fname = NULL,
verbose = FALSE)
``` |

`perm.null.sim` |
Positive integer, the number of simulated values to be computed when a permutation null distribution is simulated. |

`xy` |
A list, whose first element corresponds to the matrix x as below, and
its second element corresponds to the matrix y as below. If |

`x` |
A matrix, number of columns = dimension of random vector, number of rows = number of observations. |

`y` |
A matrix, number of columns = dimension of random vector, number of rows = number of observations. |

`fit` |
An object generated by |

`parts` |
Positive integer, divide computation to four parts. Useful for getting
a sense of progress (when |

`save.perm.null` |
Logical, if |

`perm.null.fname` |
String, file name to which to save an RData file containing
the permutation null if |

`verbose` |
Logical. |

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