Bootstrapping for non-gaussian functions (internal use)

1 2 | ```
bootstrap_nongaussian(bootstr, R_pe, formula, data, Ysim, mod, grname,
grname_org, nboot, parallel, ncores, CI)
``` |

`bootstr` |
bootstrap function. Re-assigns response simulated by simulate.merMod to data and estimates R with the R_pe function. |

`R_pe` |
Function to estimate Repeatabilities and Variances for grouping factors, Residuals, Overdispersion and Fixed effects. |

`formula` |
lme4 model formula |

`data` |
data.frame given as original input |

`Ysim` |
data.frame with simulated response variables from simulate.merMod |

`mod` |
fitted lme4 model |

`grname` |
original grnames vector without Residual or Fixed |

`grname_org` |
original grnames vector |

`nboot` |
number of bootstraps, equal to columns in Ysim |

`parallel` |
boolean |

`ncores` |
number of cores specified, defaults to NULL |

`CI` |
confidence interval, defaults to 0.95 |

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