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Dear all,

I'm working on a way to analyse multi-state CMR data (the species can go in and out of a breeding state) and make it reproducible after every season when the newly collected data is available.

I was thinking about using R (RMark) so that the team can just run the analysis every year without having to play with the pim charts in MARK and be able to assess if there is any unusual pattern in survival estimates of the population. Also running the analysis in R would allow them to create survival output graphs in one run easily.

Are there any tutorials on how to run multi-state models in R? (recorded webinars, online tutorials, etc...)?

Any help would be greatly appreciated.

I'm sure that Evan will move this to RMark forum where it belongs. Have always had plans to create a tutorial but haven't done so. Given that i have been retired for 7 years that isn't likely to happen by me. There is a multistate example in the package ?mstrata. There is an RMark documentation archive at http://www.phidot.org/software/mark/rmark/
The workshop notes should get you going. RMark is an interface to MARK which does all of the analysis so it is best if you gave a good understanding of MARK pims and design matrices. I have recently seen someone offering a cmr class and RMark was part of the class.

Hi @jlaake

Thank you very much for the quick reply. I have a good understanding of how MARK works, I will now check how to fix parameters, correct parameters count etc in RMark with the documentation.

Thank you!

See third message from top of this forum for fixing parameters.