robust.print.summaries | R Documentation |
Printing linear model fits provided by glm or with method="cubinf"
## S3 method for class 'cubinf'
print(x, ai = FALSE, ci = FALSE, A.mat = FALSE, ...)
## S3 method for class 'summary.cubinf'
print(x, ...)
## S3 method for class 'glm.i'
print(x, ...)
x |
An object result of a call to |
ai |
Vector with components a_i=ufact/|Ax_i| (where x_i^T denotes the ith row of the model matrix). |
ci |
Vector of the final bias corrections. |
A.mat |
The final value of the matrix A. |
... |
Further optional arguments according to the print method. Implicit argument in all these functions is digits = max(3, .Options$digits - 3). |
Kuensch, H.R., Stefanski L.A., Carroll R.J. (1989). Conditionally unbiased bounded-influence estimation in general regression models, with application to generalized linear models. Journal of the American Statistical Association, 84, 460-466.
Marazzi, A. (1993). Algorithms, Routines, and S-functions for robust Statistics. Chapman and Hall, New York.
The model fitting function glm
, cubinf
library(robcbi)
## Dobson (1990) Page 93: Randomized Controlled Trial :
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
print(d.AD <- data.frame(treatment, outcome, counts))
zD93 <- glm(counts ~ outcome + treatment, family=poisson,method="cubinf",ufact=3.2)
summary(zD93)
print(zD93)
wi <- weights(zD93)
print(wi)
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