CRAN/E | SDMtune

SDMtune

Species Distribution Model Selection

Installation

About

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.

Citation SDMtune citation info
consbiol-unibern.github.io/SDMtune/
System requirements Java (>= 8)
Bug report File report

Key Metrics

Version 1.3.1
R ≥ 4.1.0
Published 2023-07-03 299 days ago
Needs compilation? yes
License GPL-3
CRAN checks SDMtune results
Language en-US

Downloads

Yesterday 29 0%
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Last 30 days 458 -24%
Last 90 days 1.528 -7%
Last 365 days 6.449 -3%

Maintainer

Maintainer

Sergio Vignali

sergio.vignali@unibe.ch

Authors

Sergio Vignali

aut / cre

Arnaud Barras

aut

Veronika Braunisch

aut

Conservation Biology - University of Bern

fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

SDMtune - basic use
SDMtune - hyperparameter tuning
SDMtune - presence absence models
SDMtune - variable selection

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SDMtune archive

Depends

R ≥ 4.1.0

Imports

cli ≥ 3.4.1
dismo ≥ 1.3-9
gbm ≥ 2.1.5
ggplot2 ≥3.4.0
jsonlite ≥ 1.6
maxnet ≥ 0.1.4
methods
nnet ≥7.3-12
randomForest ≥ 4.6-14
Rcpp ≥ 1.0.1
rlang ≥0.4.5
rstudioapi ≥ 0.10
stringr ≥ 1.4.0
terra ≥1.6-47
whisker ≥ 0.3-2

Suggests

covr
htmltools ≥ 0.3.6
kableExtra ≥ 1.1.0
knitr ≥1.23
maps ≥ 3.3.0
pkgdown ≥ 2.0.7
plotROC ≥ 2.2.1
rasterVis ≥ 0.50
reshape2 ≥ 1.4.3
rJava ≥ 0.9-11
rmarkdown ≥ 2.16
scales ≥ 1.0.0
testthat ≥ 3.1.7
withr ≥ 2.5.0
zeallot ≥ 0.1.0

LinkingTo

Rcpp