Description Usage Arguments Details Value

Select the optimal model according to the QIC criterion

1 |

`y` |
A matrix containing current response variable |

`X` |
A data frame containing the covariate for the current samples |

`id` |
The id for each subject in the X |

`beta` |
The paramters that we estimate when we use the current samples |

`nonZeroSet` |
The set of the index of the non zero coefficient |

`rho` |
A numeric number indicating the estimate of correlation coefficient |

`linkv` |
A specification for the model link function. |

`corstrv` |
A character string specifying the correlation structure. The following are permitted: "independence", "exchangeable" and "ar1". |

QIC calculates the value of the quasi-likelihood under the independence model criterion for Generalized Estimating Equations. The QIC criterion is actually a generalization of the AIC criterion in the statistical inference of parameters in the longitudinal data analysis framework.

a value indicating how well the model fits

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