The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 1.3.7
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: 2024-10-03
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_1.3.7.tar.gz
Windows binaries: r-devel: sars_1.3.7.zip, r-release: sars_1.3.7.zip, r-oldrel: sars_1.3.7.zip
macOS binaries: r-release (arm64): sars_1.3.7.tgz, r-oldrel (arm64): sars_1.3.7.tgz, r-release (x86_64): sars_1.3.7.tgz, r-oldrel (x86_64): sars_1.3.7.tgz
Old sources: sars archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sars to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.