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SDMtune  

Species Distribution Model Selection
View on CRAN: Click here


Download and install SDMtune package within the R console
Install from CRAN:
install.packages("SDMtune")

Install from Github:
library("remotes")
install_github("cran/SDMtune")

Install by package version:
library("remotes")
install_version("SDMtune", "1.3.2")



Attach the package and use:
library("SDMtune")
Maintained by
Sergio Vignali
[Scholar Profile | Author Map]
First Published: 2019-06-21
Latest Update: 2023-07-03
Description:
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.
How to cite:
Sergio Vignali (2019). SDMtune: Species Distribution Model Selection. R package version 1.3.2, https://cran.r-project.org/web/packages/SDMtune. Accessed 30 Apr. 2025.
Previous versions and publish date:
0.1.0 (2019-06-21 10:00), 0.1.1 (2019-07-15 00:04), 0.2.0 (2019-09-02 15:10), 0.2.1 (2019-12-05 15:20), 1.0.0 (2019-12-10 18:00), 1.0.1 (2019-12-17 15:20), 1.1.0 (2020-03-11 16:50), 1.1.1 (2020-07-17 09:30), 1.1.2 (2020-10-02 13:12), 1.1.3 (2020-11-24 11:30), 1.1.4 (2021-03-14 20:00), 1.1.5 (2021-07-17 07:20), 1.1.6 (2022-08-25 10:22), 1.2.0 (2022-12-15 00:30), 1.2.1 (2023-03-09 12:00), 1.3.0 (2023-05-02 12:30), 1.3.1 (2023-07-03 14:20)
Other packages that cited SDMtune R package
View SDMtune citation profile
Other R packages that SDMtune depends, imports, suggests or enhances
Complete documentation for SDMtune
Functions, R codes and Examples using the SDMtune R package
Some associated functions: ANN-class . BRT-class . Maxent-class . Maxnet-class . RF-class . SDMmodel-class . SDMmodel2MaxEnt . SDMmodelCV-class . SDMtune-class . SDMtune-package . SWD-class . addSamplesToBg . aicc . auc . checkMaxentInstallation . confMatrix . corVar . doJk . getTunableArgs . gridSearch . maxentTh . maxentVarImp . mergeSWD . modelReport . optimizeModel . plotCor . plotJk . plotPA . plotPred . plotROC . plotResponse . plotVarImp . predict-ANN-method . predict-BRT-method . predict-Maxent-method . predict-Maxnet-method . predict-RF-method . predict-SDMmodel-method . predict-SDMmodelCV-method . prepareSWD . randomFolds . randomSearch . reduceVar . swd2csv . thinData . thresholds . train . trainValTest . tss . varImp . varSel . virtualSp . 
Some associated R codes: ANN-class.R . BRT-class.R . Maxent-class.R . Maxnet-class.R . RF-class.R . RcppExports.R . SDMmodel-class.R . SDMmodel2MaxEnt.R . SDMmodelCV-class.R . SDMtune-class.R . SDMtune-package.R . SWD-class.R . addSamplesToBg.R . aicc.R . auc.R . chart-utils.R . checkMaxentInstallation.R . confMatrix.R . convertFolds.R . corVar.R . doJk.R . getTunableArgs.R . gridSearch.R . maxentTh.R . maxentVarImp.R . mergeSWD.R . modelReport.R . optimizeModel.R . plotCor.R . plotJk.R . plotPA.R . plotPred.R . plotROC.R . plotResponse.R . plotVarImp.R . predict-ANN.R . predict-BRT.R . predict-Maxent.R . predict-Maxnet.R . predict-RF.R . predict-SDMmodel.R . predict-SDMmodelCV.R . prepareSWD.R . randomFolds.R . randomSearch.R . reduceVar.R . swd2csv.R . thinData.R . thresholds.R . train.R . trainANN.R . trainBRT.R . trainMaxent.R . trainMaxnet.R . trainRF.R . trainValTest.R . tss.R . utils.R . varImp.R . varSel.R . virtualSp.R . zzz.R .  Full SDMtune package functions and examples
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