[R] How to get around heteroscedasticity with non-linear leas t squares in R?
andy_liaw at merck.com
Tue Feb 21 19:56:39 CET 2006
Your understanding isn't similar to mine. Mine says robust/resistant
methods are for data with heavy tails, not heteroscedasticity. The common
ways to approach heteroscedasticity are transformation and weighting. The
first is easy and usually quite effective for dose-response data. The
second is not much harder. Both can be done in R with nls().
From: Quin Wills
> I am using "nls" to fit dose-response curves but am not sure
> how to approach
> more robust regression in R to get around the problem of the my error
> showing increased variance with increasing dose.
> My understanding is that "rlm" or "lqs" would not be a good idea here.
> 'Fairly new to regression work, so apologies if I'm missing something
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