Description Usage Arguments Value Examples
View source: R/summary.glmRob.q
Compute a summary of the robustly fitted generalized linear model.
1 2 |
object |
a glmRob object. |
correlation |
a logical value. If |
... |
additional arguments required by the generic |
The summary is returned in a list of class summary.glmRob and contains the following components:
comp1 |
Description of 'comp1' |
comp2 |
Description of 'comp2' |
...
1 2 3 4 | data(breslow.dat)
bres.rob <- glmRob(sumY ~ Age10 + Base4*Trt, family = poisson(), data = breslow.dat)
bres.sum <- summary(bres.rob)
bres.sum
|
Loading required package: fit.models
Call: glmRob(formula = sumY ~ Age10 + Base4 * Trt, family = poisson(),
data = breslow.dat)
Deviance Residuals:
Min 1Q Median 3Q Max
-5.564e+138 2.102e+01 3.127e+01 4.656e+01 1.070e+02
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -15977.1 0.6945 -23006.35 0.000e+00
Age10 5826.8 0.2685 21700.17 0.000e+00
Base4 -133.8 3.7261 -35.91 2.053e-282
Trtprogabide -7928.4 0.3547 -22354.07 0.000e+00
Base4:Trtprogabide 1045.2 3.6354 287.50 0.000e+00
(Dispersion Parameter for poisson family taken to be 1 )
Null Deviance: 11983 on 58 degrees of freedom
Residual Deviance: NaN on 54 degrees of freedom
Number of Iterations: 50
Correlation of Coefficients:
(Intercept) Age10 Base4 Trtprogabide
Age10 6.8220
Base4 1.2471 -1.8616
Trtprogabide 0.5107 3.3022 0.9757
Base4:Trtprogabide 0.5107 3.3022 0.9757 1.0000
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