From: Ted Harding <Ted.Harding_at_nessie.mcc.ac.uk>

Date: Fri 22 Sep 2006 - 19:25:15 GMT

E-Mail: (Ted Harding) <Ted.Harding@nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 094 0861

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Sep 23 05:30:49 2006

Date: Fri 22 Sep 2006 - 19:25:15 GMT

Hi Folks,

I've just come across a kind of problem which leads me to wonder how to approach it in R.

(1-P[1])*(1-P[2])*...*(1-P[n-1])*P[n]

where P[i] could have a logistic model in terms of the values of X[i] and Y[i], and n is the index of the impact at which failure occurred. That is then a solvable problem.

Even so, I'm not (so far) finding in the R resources the appropriate analogue of glm for this kind of model. I dare say a prolonged trawl through the various "survival" resources might lead to something applicable, but ...

And then there's the cumulative frailty ... !

Suggestions welcome!

With thanks,

Ted.

E-Mail: (Ted Harding) <Ted.Harding@nessie.mcc.ac.uk> Fax-to-email: +44 (0)870 094 0861

Date: 22-Sep-06 Time: 20:25:12 ------------------------------ XFMail ------------------------------ ______________________________________________R-help@stat.math.ethz.ch mailing list

https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. Received on Sat Sep 23 05:30:49 2006

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