This is something I've been meaning to do for a while, but just finally got around to because it was screwing someone's analysis up.
Originally, the ENMTools R package was designed to store all replicate models in the output object for the identity and background tests. While that's fine for low resolution or small extent studies, it got to be a real problem for people working with high-resolution data over larger geographic extents.
To deal with this, I've created options for background.test and identity.test that allow you to save the replicate models to .Rda files instead of storing them in the output object. When called using this option, the replicate.models entries in the identity.test and background.test objects contain paths to the saved model files instead of containing the models themselves.
By default these functions just store models in the working directory, but you can specify a directory to save them to instead if you prefer.
To run these tests using the low memory options, just pass the argument low.memory = TRUE. If you want to pass it a directory to save to, just add rep.dir = "PATH", where PATH is your directory name.
Be warned that replicate models WILL be overwritten if they exist. It's a good idea to make a separate directory for the reps from each analysis.
This new functionality is currently only implemented on the "develop" branch, but we'll move it over to the main branch soon.