This function simulates different phylogenetic signal statistics for a given phylogenetic tree along a gradient of Brownian Motion influence.

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`tree` |
a |

`methods` |
a character vector giving the methods to compute phylogenetic signal (see Details). |

`nsim` |
a numeric value. Number of simulated traits at each step in the gradient. |

`reps` |
a numeric value. Number of repetitions for the estimation of p.values with randomization. |

`W` |
an optional matrix of phylogenetic weights to compute Moran's I. By default the matrix
is computed with the function |

`model` |
the model to use for traits simulation (only " |

`pb` |
a logical. Should a progress bar be printed? (default |

By default, the `methods`

argument is set to "`all`

" and all the available methods are used.
The user can specify which method(s) to use. Possible values are
"`I`

", "`Cmean`

", "`Lambda`

", "`K`

" and "`K.star`

",
see `phyloSignal`

for further details.

An object of class `phylosim`

.

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