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Last data update: 2014.03.03

R: Goodness of Link Test in GLM

scglm

R Documentation

Goodness of Link Test in GLM

Computes the score test statistic for the goodness of link test in generalized linear models.

scglm(x, y, family, weights, beta, phi = 1, offset)

`x`	a matrix or data frame containing the explanatory variables.
`y`	the response: a vector of length the number of rows of `x`.
`family`	a description of the error distribution and link function to be used in the model. See `family` for details.
`weights`	an optional vector of weights to be used in the fitting process.
`beta`	a vector of coefficients estimates
`phi`	the dispersion parameter
`offset`	optional, a priori known component to be included in the linear predictor during fitting.

See pag. 200–201 of Atkinson and Riani (2000).

Return the value of the score test statistic.

Originally written for S-Plus by: Kjell Konis kkonis@insightful.com and Marco Riani mriani@unipr.it
Ported to R by Luca Scrucca luca@stat.unipg.it

Atkinson, A.C. and Riani, M. (2000), Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Chapter 6.