Description Usage Arguments Details Value Author(s) References
These functions are used internally for compatability with the maxnet package (Phillips et al. 2017, Phillips 2017).
1 2 3 4 5 | 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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