rsf.fit() mean() error

[adrian...@gmail.com]

Hi Chris and Jesse,

I ran rsf.fit and now I am trying to run mean(). I got the error pasted below and have not been able to figure it out. I wonder if you have any guess what would be happening here:

for(i in 1:length(sheeps_2023))
{
  print(i)
  # fit horizontal movement model
  GUESS <- ctmm.guess(sheeps_20232[[i]],CTMM=ctmm(error=20),interactive=F)
  Y2023_FITS[[i]] <- ctmm.select(sheeps_20232[[i]],GUESS,trace=2, cores = -4)
 
  Y2023_AKDE[[i]] <- akde(sheeps_20232[[i]],Y2023_FITS[[i]],weights=T, SP=mask, SP.in = T, trace=TRUE)
  Y2023.RSF[i]] <- rsf.fit(sheeps_20232[[i]], Y2023_AKDE[[i]], R, formula= ~ slope+aspect+tri+elevation+
                              core_escape+near_escape+mid_escape+far_escape+water+
                              grassland+shrubland+coniferous+ndvi+south_facing, integrated= T,
                            standardize = T, trace=T)
}

Y2023.RSF is attached to this message. Thanks for the help. Best, Adrian

Y2023.RSF_mean<-mean(Y2023.RSF) Fitting location-mean model Dirac-δ(μ) Fitting location-mean model isotropic-μ Fitting location-mean model anisotropic-μ

Error in if (any(abs(par) == Inf)) { : missing value where TRUE/FALSE needed