Description Usage Arguments Value

It acts on the primitives of the estimation problem and returns the Data

1 | ```
generateData2(id, times, n, X, Z, betas, b, Q)
``` |

`id` |
individual number |

`times` |
one-dimensional array of time points |

`n` |
number of individuals |

`X` |
fixed effects design matrix. Usually includes an intercept and time. |

`Z` |
random effects design matrix. Usually includes an intercept and time |

`betas` |
the fixed effects parameters for the intercept and the slope. |

`b` |
the random effects taken from a multivariate normal with mean 0 and variance matrix D |

`Q` |
the number of items. Set this to four. |

Returns the generated Data as data.frame

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