Caroline - the phidot forum is an *excellent* spot to post this question. There is an entire RMark subforum. www.phidot.org/forum/index.php Even just searching this forum will probably give you some answers.
Also, this book has a whole section on individual covariates and approaches for dealing with missing values (it is an amazing MARK resource in general): www.phidot.org/software/mark/docs/book/ The problem you are having is a fundamental problem with individual covariates that are unknown for individuals that were not captured. Joe On Fri, Dec 18, 2015 at 10:42 AM, Caroline Glidden < glidd...@science.oregonstate.edu> wrote: > I am currently trying to run a Known Fates Model in RMark with individual > time varying covariates. However, for animals that died early in the study > or were not captured at one capture period I, of course, do not have data > for all of their time points. I thought that NAs would not matter when the > LD capture history was 00, and therefore, having no data during the time > points the animal was unable to be sampled would not be a big deal. > However, RMark cannot fit my model due to the NAs. I was wondering how I > should code the individual time varying covariates for time points at which > the animal has no data due to it not being captured or due to it dying? > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > -- Cooperative Fish and Wildlife Research Unit Zoology and Physiology Dept. University of Wyoming joecerad...@gmail.com / 914.707.8506 wyocoopunit.org [[alternative HTML version deleted]] ______________________________________________ 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.
