correapvf/caretSDM: Species Distribution Models using caret
This package add more tools and features to caret to create and evaluate models, specially aiming for species destribution models (SDMs). This package contais functions to evaluate create ROC curves, create response plots, calculate the importance of of variables (also including a jackknife method), choose and set a thresholder in a model, import spatial blocks for cross-validation from ENMeval or blockCV into caret control, create and evaluate ensemble models (the method here is different from caretEnsemble), create confidence maps based on bootstrap, and create MaxEnt models using caret 'train' function (it uses the jar version of MaxEnt to create and predict models).
Getting started
README.md
Browse package contents
Vignettes
Man pages
API and functions
Files
Package details
AuthorPaulo Corr锚a
MaintainerPaulo Corr锚a
LicenseMIT + file LICENSE
Version0.2.0
Package repositoryView on GitHub
Installation
Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("correapvf/caretSDM")
correapvf/caretSDM documentation built on June 2, 2022, 8:29 a.m.
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