Species Distribution Model Selection

User-friendly framework that enables the training and the evaluation of species distribution models (SDMs). The package implements functions for data driven variable selection and model tuning and includes numerous utilities to display the results. All the functions used to select variables or to tune model hyperparameters have an interactive real-time chart displayed in the 'RStudio' viewer pane during their execution.


Reference manual

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1.1.3 by Sergio Vignali, 2 months ago

https://consbiol-unibern.github.io/SDMtune/, https://github.com/ConsBiol-unibern/SDMtune

Report a bug at https://github.com/ConsBiol-unibern/SDMtune/issues

Browse source code at https://github.com/cran/SDMtune

Authors: Sergio Vignali [aut, cre] , Arnaud Barras [aut] , Veronika Braunisch [aut] , Conservation Biology - University of Bern [fnd]

Documentation:   PDF Manual  

GPL-3 license

Imports dismo, gbm, ggplot2, jsonlite, maxnet, methods, nnet, progress, randomForest, raster, Rcpp, rlang, rstudioapi, stringr, whisker

Suggests cli, covr, crayon, htmltools, kableExtra, knitr, maps, pkgdown, plotROC, rasterVis, reshape2, rgdal, rJava, rmarkdown, scales, testthat, zeallot

Linking to Rcpp

System requirements: Java (>= 8) and maxent.jar >= 3.4.1 to use Maxent

See at CRAN