Description Usage Arguments Details Value Author(s) References See Also Examples
Function to derive exact values of deletion (leave-one-out) residuals for binomial regression models
1 | exact.deletion(object)
|
object |
An object of class |
The ith deletion residual is calculated subtracting the deviances when fitting a linear logistic model to the full set of n observations and fitting the same model to a set of n-1 observations excluding the ith observation, for i = 1,...,n. This gives rise to n+1 fitting processes and may be computationally heavy for large data sets.
Approximations to the deletion residuals, as described in Williams
(1987), are provided by rstudent
.
Inconsistency regarding the terminology implies that the deletion residuals are called different names in the litterature, including likelihood residuals, studentized residuals, externally studentized residuals, deleted studentized residuals and jack-knife residuals. Conversely, some of these terms refer to different types of residuals
A vector with exact deletion residuals
Merete K Hansen
Collett, D. (2003) Modelling binary data. Second edition. Chapman & Hall/CRC.
Fox, J. (2002) An R and S-Plus Companion to Applied Regression. Sage Publ.
Williams, D. A. (1987) Generalized linear model diagnostics using the deviance and single case deletions. Applied Statistics 36, 181-191.
1 2 3 |
1 2 3 4 5 6 7
0.2481934 1.0856747 -0.4858414 -0.9703302 -0.4098616 0.6819076 0.3323490
8 9 10 11 12 13 14
1.1276383 1.6631429 0.5731938 -1.3209986 -1.4240437 1.3515568 -0.8309950
15 16
1.7608749 1.1673384
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