Hi! I've been asked about a problem where I think I can see how to write the model, but don't know if it's been implemented in R. It's not something I work on a lot, so I'm hoping someone else can point me to an answer straight away.
The researcher has been carrying out germination experiments: lost of seeds are put in several conditions (temperature humidity etc.), and every few days they are checked to see if they have germinated. Because the days are discrete I think it makes sense to view this as an ordinal regression problem (rather than as an interval censored survival analysis). But what makes this tricky is that there are days when the researcher only checked some seeds. So for some seeds the germination might fall into more than one category. Is there a package in R that can handle this, i.e. do an ordinal regression where for some observations the categories are interval censored? Or is it easier to go straight to a full interval-censored survival analysis? Bob -- Bob O'Hara Biodiversity and Climate Research Centre Senckenberganlage 25 D-60325 Frankfurt am Main, Germany Tel: +49 69 798 40226 Mobile: +49 1515 888 5440 WWW: http://www.bik-f.de/root/index.php?page_id=219 Blog: http://occamstypewriter.org/boboh/ Journal of Negative Results - EEB: www.jnr-eeb.org ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.