Package: maxnet 0.1.4

Steven Phillips

maxnet: Fitting 'Maxent' Species Distribution Models with 'glmnet'

Procedures to fit species distributions models from occurrence records and environmental variables, using 'glmnet' for model fitting. Model structure is the same as for the 'Maxent' Java package, version 3.4.0, with the same feature types and regularization options. See the 'Maxent' website <http://biodiversityinformatics.amnh.org/open_source/maxent> for more details.

Authors:Steven Phillips

maxnet_0.1.4.tar.gz
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maxnet_0.1.4.tgz(r-4.6-any)maxnet_0.1.4.tgz(r-4.5-any)
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maxnet_0.1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
maxnet/json (API)

# Install 'maxnet' in R:
install.packages('maxnet', repos = c('https://nmfs-opensci.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mrmaxent/maxnet/issues

Datasets:
  • bradypus - Occurrence records and background data for the brown-throated three-toed sloth, Bradypus variegatus

On CRAN:

Conda:

6.30 score 9 packages 293 scripts 5.0k downloads 5 mentions 7 exports 25 dependencies

Last updated from:787504c9b9. Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develNOTE122
source / vignettesOK156
linux-releaseNOTE159
macos-releaseNOTE289
macos-oldrelNOTE160
windows-develNOTE69
windows-releaseNOTE70
windows-oldrelNOTE62
wasm-releaseOK117

Exports:categoricalhingemaxnetmaxnet.default.regularizationmaxnet.formularesponse.plotthresholds

Dependencies:clicodetoolsdplyrforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixpillarpkgconfigR6RcppRcppEigenrlangshapesurvivaltibbletidyselectutf8vctrswithr