Description Usage Arguments Value Author(s) Examples
This function prints a summary of the learned model.
1 2 3 |
object |
a result of a call to |
dispersion |
the dispersion parameter for the family used. Either a single numerical value or |
correlation |
logical; if |
symbolic.cor |
logical. If |
trace |
when TRUE, intermediate steps of the progress are displayed. |
... |
further arguments passed to or from other methods. |
summary.dglm
returns an object of class "summary.dglm"
, a list with components
call |
the component from |
family |
the component from |
deviance |
the component from |
df.residual |
the component from |
null.deviance |
the component from |
df.null |
the component from |
deviance.resid |
(only when completeModel=TRUE) the deviance residuals:
see |
coefficients |
the matrix of coefficients, standard errors, z-values and p-values. Aliased coefficients are omitted. Except coefficients, other values are NA for an incomplete model. |
aliased |
named logical vector showing if the original coefficients are aliased. |
dispersion |
either the supplied argument or the inferred/estimated
dispersion if the latter is |
df |
a 3-vector of the rank of the model and the number of residual degrees of freedom, plus number of non-aliased coefficients. |
cov.unscaled |
the unscaled ( |
cov.scaled |
ditto, scaled by |
correlation |
(only if |
symbolic.cor |
(only if |
minMax |
it contains the minimum and the maximum of the deviance residuals. They are NA for an incomplete model. |
Vishrut Gupta, Arash Fard
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