These functions are used internally for compatability with the maxnet package (Phillips et al. 2017, Phillips 2017).
maxentJARversion ()
modelTune.maxentJar (pres, bg, env, nk, group.data,
args.i, userArgs, rasterPreds, clamp, categoricals)
modelTune.maxnet (pres, bg, env, nk, group.data, args.i, rasterPreds, clamp)
maxnet.predictRaster (mod, env, type, clamp)
Occurrence points.
Background points.
Environmental predictor variables.
Number of k-fold partitions.
Input data grouped for k-fold evaluations (output of the get.evaluation.bins
functions).
Internal arguments.
User arguments.
Raster(s) of model predictions.
Logical.
Vector indicating which (if any) of the input environmental layers are categorical.
maxnet model object.
see maxnet package documentation.
Depends on which function is used.
These functions are used internally for compatability with the maxnet package.
Phillips, S. J. 2017. maxnet package for R. Available online at: https://CRAN.R-project.org/package=maxnet.
Phillips, S. J., Anderson, R. P., Dud<U+00ED>k, M., Schapire, R. E. and Blair, M. E. 2017. Opening the black box: an open-source release of Maxent. Ecography, 40: 887<U+2013>893.