call | element is returned as it is contained in the object.
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terms | element is returned as it is contained in the object.
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family | element is returned as it is contained in the object.
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deviance | element is returned as it is contained in the object.
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aic | element is returned as it is contained in the object.
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contrasts | element is returned as it is contained in the object.
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df.residual | element is returned as it is contained in the object.
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null.deviance | element is returned as it is contained in the object.
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df.null | element is returned as it is contained in the object.
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iter | element is returned as it is contained in the object.
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na.action | element is returned as it is contained in the object. |
deviance.resid |
the deviance residuals, as produced by residuals(object).
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coefficients |
a matrix with four columns that contain the coefficients, their standard errors, z-values, and p-values.
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aliased |
a logical vector that indicates if the original coefficients are aliased.
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dispersion |
a numeric value that reports the dispersion parameter used in the dispersion argument.
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df |
a numeric vector with length = 3 that contains the rank of the model, number of residual degrees of freedom, and number of non-aliased coefficients.
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cov.unscaled |
the unscaled covariance matrix. That is, a matrix such that if you multiplied the matrix by the dispersion parameter, or estimate thereof, an estimated (asymptotic) covariance matrix for the coefficients would be produced.
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cov.scaled |
the covariance matrix scaled by dispersion. If object$rank, the value is dispersion * covmat.unscaled, otherwise cov.scaled is the same as cov.unscaled.
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correlation |
the computed correlation matrix for the coefficients in the model. Exists only when argument correlation = TRUE and object$rank > 0.
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symbolic.cor |
a logical value that reports the value assigned to the symbolic.cor argument. Exists only when argument correlation = TRUE and object$rank > 0.
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