Functions for compatability with maxnet package
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)pres |
Occurrence points. |
bg |
Background points. |
env |
Environmental predictor variables. |
nk |
Number of k-fold partitions. |
group.data |
Input data grouped for k-fold evaluations (output of the |
args.i |
Internal arguments. |
userArgs |
User arguments. |
rasterPreds |
Raster(s) of model predictions. |
clamp |
Logical. |
categoricals |
Vector indicating which (if any) of the input environmental layers are categorical. |
mod |
maxnet model object. |
type |
see maxnet package documentation. |
These functions are used internally for compatability with the maxnet package.
Depends on which function is used.
Robert Muscarella <bob.muscarella@gmail.com> and Jamie M. Kass <jkass@gc.cuny.edu>
Phillips, S. J. 2017. maxnet package for R. Available online at: https://CRAN.R-project.org/package=maxnet.
Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E. and Blair, M. E. 2017. Opening the black box: an open-source release of Maxent. Ecography, 40: 887–893.
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