Description Usage Arguments Value

It acts on the Models structure for all pairs of items and returns the estimates for the m-GLMM parameters with 5 different methods

1 2 | ```
aveThetas2(Models, ModelsOne, Data, GHk = 5, n, Q, extraParam, extraParamOne,
m = 1)
``` |

`Models` |
A list which contains the lme4 model objects taken from the pairwise separate estimations (list of size Q*(Q-1)/2) |

`ModelsOne` |
A list which contains the lme4 model objects taken from the univariate separate estimations (list of size Q) |

`Data` |
a data.frame with the data. 1st column id, 2nd column time, remaining Q columns are the y 0/1 values (Q items) |

`GHk` |
Number of Gauss-Hermite points per dimension of integration |

`n` |
number of individuals |

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

`extraParam` |
a helper list which depends on pairwise estimates |

`extraParamOne` |
a helper list which depends on univariate estimates |

`m` |
an integer which is useful for subsequent runs |

The estimated parameters of the model with methods AVE, DWAVE, WAVE, CH-EXP and CH-ECDF

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