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SDMtune
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]
[Scholar Profile | Author Map]
All associated links for this package
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 Jan. 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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