Dear R Fellow-Travellers: What is your recommended way of dealing with a left-censored response (non-detects) in (linear Gaussian) mixed effects models?
Specifics: Response is a numeric positive measurement (of volume, actually); but when it falls below some unknown and slightly random value (depending on how the sample is prepared and measured), it cannot be measured and is recorded as 0. There is some statistical literature on this, but I was unable to find anything that appeared to me to implement a strategy in any R package. If it matters, I am less interested in inference than in removing possible bias in estimation. Feel free to respond off-list if you feel that this would not be of general interest. Cheers, Bert Gunter Genentech ______________________________________________ R-help@r-project.org 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.
