SDMtune 1.3.1-foss-2022b-R-4.3.1

SDMtune provides a 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.

Accessing SDMtune 1.3.1-foss-2022b-R-4.3.1

To load the module for SDMtune 1.3.1-foss-2022b-R-4.3.1 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load bear-apps/2022b
module load SDMtune/1.3.1-foss-2022b-R-4.3.1

BEAR Apps Version

2022b

Architectures

EL8-cascadelakeEL8-icelake

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • SDMtune 1.3.1

More Information

For more information visit the SDMtune website.

Dependencies

This version of SDMtune has a direct dependency on: foss/2022b R/4.3.1-foss-2022b

Last modified on 31st August 2023