Hello again
I've run into an issue with running some of the secr models. Some of my data is a bit sparse so secr was struggling to run the models;
Error in secr.fit(HYBRIDCH, model = list(D ~ 1, g0 ~ 1), mask = HYBRIDhabitatmask, :
too few values session 1 to determine start;
set manually or select different session with details autoini
I tried the autoini:
autoini(HYBRIDCH, HYBRIDhabitatmask)
Error in autoini(HYBRIDCH, HYBRIDhabitatmask) :
too few values for autoini
So then I tried setting the start values e.g.:
HYBRIDsecrBASE<- secr.fit(HYBRIDCH, model=list(D=0.01,g0=0.01, sigma=1000), mask=HYBRIDhabitatmask, method = "Nelder-Mead",CL=TRUE, detectfn = 'HN',trace = FALSE)
This worked fine, I ran the other models, they seemed to run fine as well, but when I looked at the AIC output all the models came out exactly the same:
AIC(fits)
model detectfn npar logLik AIC AICc dAICc AICcwt
BASE g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
TRP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
TRN g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
SRSP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
STRP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
STTR g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
So I then re-ran the models using a previous model that had worked e.g:
HYBRIDsecrTRP <- secr.fit(HYBRIDCH, start=ALLsecrBASE, mask=HYBRIDhabitatmask, method =
+ "Nelder-Mead",CL=TRUE, detectfn = 'HN', trace=FALSE)
AIC(fits)
model detectfn npar logLik AIC AICc dAICc AICcwt
BASE g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
TRP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
TRN g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
SRSP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
STRP g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
STTR g0~1 sigma~1 halfnormal 2 -190.1319 384.264 396.264 0 0.1667
Which gave the same problem....I'm obviously doing something wrong but I can't see what.
Any help would be much appreciated!
Thanks
Kerry