Description Usage Arguments Value Note See Also

View source: R/summary.icdglm.R

This function gives a summary of the output of *icdglm*. *summary.icdglm* inherits from *summary.glm*.

1 2 |

`object` |
an object of class "icdglm", usually, a result of a call to |

`dispersion` |
the dispersion parameter for the family used. Either a single numerical value or NULL (the default), when it is inferred from object (see details of |

`correlation` |
logical, if TRUE, the correlation matrix of the estimated parameters is returned and printed. |

`symbolic.cor` |
logical, if TRUE, print the correlations in a symbolic form (see |

`...` |
further arguments passed to or from other methods. |

*summary.icdglm* returns an object of class "*summary.icdglm*", a list with components:

callfunction call of

*object*termsthe

*terms*object used.familythe component from

*object*deviancethe component from

*object*aicthe component from

*object*df.residualthe residual degrees of freedom of the initial data set

null.deviancethe component from

*object*df.nullthe residual degrees of freedom for the null model.

iterthe number of iterations in

*icdglm.fit*, component from*object*deviance.residthe deviance residuals: see

*residuals.glm*coefficientsthe matrix of coefficients, (corrected) standard errors, t-values and p-values.

aliasednamed logical vector showing if the original coefficients are aliased.

dispersioneither the supplied argument or the inferred/estimated dispersion if the latter is NULL.

dfa 3-vector of the rank of the model and the number of residual degrees of freedom, plus number of coefficients (including aliased ones).

cov.unscaledthe unscaled (dispersion = 1) estimated covariance matrix of the estimated coefficients.

cov.scaledditto, scaled by dispersion

correlation(only if

*correlation*is*TRUE*) The estimated correlations of the estimated coefficients.symbolic.cor(only if

*correlation*is*TRUE*) The value of the argument symbolic.cor.

The description of this function is taken from *summary.glm* apart from a few differences.

`icdglm`

, `summary.glm`

, `summary`

, `glm`

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.