Hi All,
I seem to have gotten myself very confused over what I'm sure is very straight forward! Could someone please tell me how I can interpret the estimated survival of the population from my CJS model?
I was under the impression that the b values were the most important thing but apparently the 'real' values are back-transformed, so should I be looking to these?
Heres the output;
Output summary for CJS model
Name : Phi(~time)p(~1)
Npar : 6 (unadjusted=4)
-2lnL: 249.2936
AICc : 261.8186 (unadjusted=257.54051)
Beta
estimate se lcl ucl
Phi:(Intercept) 19.2732480 0.0000000 19.2732480 19.273248
Phi:time2013 -14.9518710 0.0000000 -14.9518710 -14.951871
Phi:time2014 -0.3899223 1050.4185000 -2059.2103000 2058.430400
Phi:time2015 -18.1106070 0.0000000 -18.1106070 -18.110607
Phi:time2016 -17.4604770 0.0000000 -17.4604770 -17.460477
p:(Intercept) 1.2694602 0.2162026 0.8457031 1.693217
Real Parameter Phi
2012 2013 2014 2015 2016
2012 1 0.9868925 1 0.7618123 0.8596964
2013 0.9868925 1 0.7618123 0.8596964
2014 1 0.7618123 0.8596964
2015 0.7618123 0.8596964
2016 0.8596964
Real Parameter p
2013 2014 2015 2016 2017
2012 0.7806503 0.7806503 0.7806503 0.7806503 0.7806503
2013 0.7806503 0.7806503 0.7806503 0.7806503
2014 0.7806503 0.7806503 0.7806503
2015 0.7806503 0.7806503
2016 0.7806503
Thanks so much in advance!