summary.speedglm | R Documentation |

`summary`

method for the class 'speedglm'.

```
## S3 method for class 'speedglm'
summary(object,correlation=FALSE,...)
## S3 method for class 'speedglm'
coef(object,...)
## S3 method for class 'speedglm'
vcov(object,...)
## S3 method for class 'speedglm'
logLik(object,...)
## S3 method for class 'speedglm'
AIC(object,...)
```

`object` |
an object of class 'speedglm'. |

`correlation` |
logical. Do you want to print the correlation matrix? By default it is false. |

`...` |
further optional arguments |

`coefficients` |
the matrix of coefficients, standard errors, z-statistics and two-side p-values. |

`df.residual` |
the component from object. |

`df.null` |
the component from object. |

`null.deviance` |
the component from object. |

`deviance` |
the component from object. |

`family` |
the component from object. |

`call` |
the component from object. |

`AIC` |
the Akaike Information Criterion. |

`RSS` |
Residuals sums of squares. |

`correlation` |
(only if |

`logLik` |
the log-likelihood value. |

`rank` |
the component from object. |

`dispersion` |
the estimated dispersion parameter of the fitted model. |

`convergence` |
the component from object. |

`iter` |
the component from object. |

`tol` |
the component from object. |

Marco ENEA

speedglm

```
data(data1)
mod <- speedglm(y~x1+x2+factor(fat1), data=data1, family=Gamma(log))
summary(mod)
```

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