# Generate Replicated Data with Estimated Parameters

### Description

This function generates replicated data sets based on estimated parameters (given or from posterior samples).

### Usage

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### Arguments

`N.sim` |
the number of replicated data sets to be simulated |

`loc` |
a |

`L` |
a vector of length n; it indicates the time duration during which the Poisson counts are accumulated, or the total number of trials for Binomial response |

`X` |
a |

`rho.family` |
take the value of |

`Y.family` |
take the value of |

`res.m` |
a list with elements containing the posterior samples of latent variables and parameters for observed locations |

`est` |
take the value of |

`beta` |
a value which indicates the estimation for |

`sigma` |
a value which indicates the estimation for |

`phi` |
a value which indicates the estimation for |

`k` |
a value which indicates the estimation for |

### Value

A *n \times N.sim* matrix of replicated data sets.

### Author(s)

Liang Jing ljing918@gmail.com

### See Also

`repYpost`

, `simData`

.

### Examples

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