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:
maxnet_0.1.4.tar.gz
maxnet_0.1.4.zip(r-4.5)maxnet_0.1.4.zip(r-4.4)maxnet_0.1.4.zip(r-4.3)
maxnet_0.1.4.tgz(r-4.4-any)maxnet_0.1.4.tgz(r-4.3-any)
maxnet_0.1.4.tar.gz(r-4.5-noble)maxnet_0.1.4.tar.gz(r-4.4-noble)
maxnet_0.1.4.tgz(r-4.4-emscripten)maxnet_0.1.4.tgz(r-4.3-emscripten)
maxnet.pdf |maxnet.html✨
maxnet/json (API)
NEWS
| # Install 'maxnet' in R: |
| install.packages('maxnet', repos = c('https://atsa-es.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mrmaxent/maxnet/issues
- bradypus - Occurrence records and background data for the brown-throated three-toed sloth, Bradypus variegatus
Last updated 1 years agofrom:787504c9b9. Checks:OK: 3 NOTE: 4. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | NOTE | Nov 03 2024 |
| R-4.5-linux | NOTE | Nov 03 2024 |
| R-4.4-win | NOTE | Nov 03 2024 |
| R-4.4-mac | NOTE | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:categoricalhingemaxnetmaxnet.default.regularizationmaxnet.formularesponse.plotthresholds
Dependencies:clicodetoolsdplyrfansiforeachgenericsglmnetglueiteratorslatticelifecyclemagrittrMatrixpillarpkgconfigR6RcppRcppEigenrlangshapesurvivaltibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Maxent over glmnet | maxnet-package _PACKAGE |
| Occurrence records and background data for the brown-throated three-toed sloth, Bradypus variegatus | bradypus |
| Maxent feature classes | categorical hinge thresholds |
| Maxent over glmnet | maxnet maxnet.default.regularization maxnet.formula |
| Create response plots for user selected predictors in a maxnet model | plot.maxnet |
| Predict using a maxnet model | predict.maxnet |
| Compute and plot a single response variable | response.plot |
