sars: Fit and Compare Species-Area Relationship Models Using Multimodel Inference

Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <doi:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.

Version: 2.0.0
Depends: R (≥ 3.6.0)
Imports: graphics, nortest, stats, utils, crayon, cli, numDeriv, doParallel, foreach, parallel, AICcmodavg, minpack.lm
Suggests: knitr, rmarkdown, testthat, covr
Published: 2025-03-03
DOI: 10.32614/CRAN.package.sars
Author: Thomas J. Matthews ORCID iD [aut, cre], Francois Guilhaumon ORCID iD [aut], Kevin Cazelles ORCID iD [rev]
Maintainer: Thomas J. Matthews <txm676 at gmail.com>
BugReports: https://github.com/txm676/sars/issues
License: GPL-3 | file LICENSE
URL: https://github.com/txm676/sars, https://txm676.github.io/sars/
NeedsCompilation: no
Citation: sars citation info
Materials: README NEWS
CRAN checks: sars results

Documentation:

Reference manual: sars.pdf
Vignettes: sars R Package (source, R code)

Downloads:

Package source: sars_2.0.0.tar.gz
Windows binaries: r-devel: sars_2.0.0.zip, r-release: sars_2.0.0.zip, r-oldrel: sars_2.0.0.zip
macOS binaries: r-devel (arm64): sars_1.3.7.tgz, r-release (arm64): sars_2.0.0.tgz, r-oldrel (arm64): sars_2.0.0.tgz, r-devel (x86_64): sars_2.0.0.tgz, r-release (x86_64): sars_2.0.0.tgz, r-oldrel (x86_64): sars_2.0.0.tgz
Old sources: sars archive

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