Dear all, I am currently running an ENFA in R using Adehabitat pkg to assess species distribution and I am really stuck and need some help to finalize my project. I run the ENFA in both original location data and pseudo-absence points (the latter randomly generated using dismo pkg), and now I would like to assess the performance of the ENFA, however, I am not sure about how to tackle this. I did not understand how to extract the prediction values from each output to generate the AUC/ROC. Please, could anyone give me a hand with that? Thank you very much, Leandro [[alternative HTML version deleted]]
Dear all, I am currently running an ENFA in R using Adehabitat pkg to assess species distribution and I am really stuck and need some help to finalize my project. I run the ENFA in both original location data and pseudo-absence points (the latter randomly generated using dismo pkg), and now I would like to assess the performance of the ENFA, however, I am not sure about how to tackle this. I did not understand how to extract the prediction values from each output to generate the AUC/ROC. Please, could anyone give me a hand with that? Thank you very much, Leandro [[alternative HTML version deleted]]