Description Usage Arguments Value Warning Note Author(s) See Also Examples

Performs a Likelihood Ratio Test between two nested `grouped`

models.

1 2 |

`object` |
an object inheriting from class |

`object2` |
an object inheriting from class |

`...` |
additional arguments; currently none is used. |

a list of class `aov.grouped`

with the following components:

`name0` |
the name of the null model represented by |

`L0` |
the log-likelihood under |

`df0` |
the number of parameters in |

`AIC0` |
the AIC under |

`BIC0` |
the BIC under |

`name1` |
the name of the alternative model represented by |

`L1` |
the log-likelihood under |

`df1` |
the number of parameters in |

`AIC1` |
the AIC under |

`BIC1` |
the BIC under |

`L01` |
the value of the likelihood ratio test statistic. |

`p.value` |
the |

The function does only partial checking whether the two models are nested; the user is responsible to supply nested models in order to perform a valid test.

`anova.grouped`

performs a likelihood ratio test between two nested models; for simple Wald tests
for the estimated parameters use `summary.grouped`

.

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

1 2 3 4 5 6 7 | ```
m1 <- grouped(cbind(lo, up) ~ treat, link = "logit", data = Sdata)
m2 <- grouped(cbind(lo, up) ~ treat * x, link = "logit", data = Sdata)
anova(m1, m2)
m1 <- grouped(equispaced(r, n) ~ x1, link = "logit", data = Seeds)
m2 <- grouped(equispaced(r, n) ~ x1 * x2, link = "logit", data = Seeds)
anova(m1, m2)
``` |

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