Hi Chris,
after I ran ctmm.select() simultaneously for several animals, I get the follwing error (and my code before):
GUESS <- lapply(turtle.trj, function(b) ctmm.guess(b, CTMM = ctmm(error = 10), interactive=FALSE))
FITS <- lapply(1:length(turtle.trj), function(i) ctmm.select(turtle.trj[[i]],GUESS[[i]], verbose=T, trace = TRUE, cores = 2))
UDS <- akde(turtle.trj, FITS, weights=F, trace=T)
Error in akde(turtle.trj, FITS, weights = F, trace = T) :
CTMM argument is of class list
In addition: Warning message:
In mean.default(diff(r)) : argument is not numeric or logical: returning NA
I guess it's because I turned on verbose=T, but shouldn't AKDE automatically select the best model? I used the same code before and it worked fine. The only thing that's new is the error incorporation, but I accidentally ran FITS with verbose=F before and akde() worked for that object.
Is it possible that there is a bug or do I have to use verbose=F now?
Cheers,
Ingo