I'm trying to use R2ucare to identify heterogeneity in survival or capture probabilities in my data because I want to analyse it with Pollock's RD. I have 42 individuals, 3 primary sampling occasions, and 34 secondary sampling occasions. Am I right to believe that I should pool the encounter histories into the 3 primary occasions and before analyzing it with R2ucare? I did that in R and had errors for test2ct (Error in m[rw, cl] : subscript out of bounds) and test2cl (Error in rep(NA, km4) : invalid 'times' argument) and I don't know why... does the analysis not work for 3 sampling occasions? The analysis worked for test3sr:
- Code: Select all
stat df p_val sign_test
0 1 1 0
$details
component stat p_val signed_test test_perf
1 2 0 1 0 Fisher
and test3sm:
- Code: Select all
$test3sm
stat df p_val
0 0 1
$details
component stat df p_val test_perf
1 2 0 0 0 None
but I'm not sure if it actually worked...
I am very new to MARK and CMR analysis. I'm basically self-taught (since January this year) via the MARK manual and relevant research papers so any help/advice you have will be highly appreciated!