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 <
gliddeca at 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?
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>
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--
Cooperative Fish and Wildlife Research Unit
Zoology and Physiology Dept.
University of Wyoming
JoeCeradini at gmail.com / 914.707.8506
wyocoopunit.org
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