deviance residuals in binomial GLM (PR#399)
Prof Brian D Ripley
ripley@stats.ox.ac.uk
Tue, 11 Jan 2000 21:18:09 +0000 (GMT)
On Tue, 11 Jan 2000 faraway@umich.edu wrote:
> Full_Name: Julian Faraway
> Version: .90.1
> OS: Linux+NT
> Submission from: (NULL) (141.211.66.172)
>
>
> In the following example, the deviance residuals are not correctly calculated:
>
> > dead <- c(2,8,15,23,27)
> > y <- cbind(dead,30-dead)
> > conc <- 0:4
> > g <- glm(y ~ conc,family=binomial)
> > residuals(g)
> [1] -0.451015 0.359696 NaN 0.064302 -0.204493
> Warning message:
> NaNs produced in: sqrt((object$family$dev.resids)(y, mu, wts))
>
> The third residual should be zero.
Yes, and it is computed as sqrt(-5.169943e-21) on my machine. I have
committed a fix for 0.99.0
--
Brian D. Ripley, ripley@stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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