The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

SADISA: Species Abundance Distributions with Independent-Species Assumption

Computes the probability of a set of species abundances of a single or multiple samples of individuals with one or more guilds under a mainland-island model. One must specify the mainland (metacommunity) model and the island (local) community model. It assumes that species fluctuate independently. The package also contains functions to simulate under this model. See Haegeman, B. & R.S. Etienne (2017). A general sampling formula for community structure data. Methods in Ecology & Evolution 8: 1506-1519 <doi:10.1111/2041-210X.12807>.

Version: 1.2
Depends: R (≥ 3.5)
Imports: pracma, DDD (≥ 4.1)
Suggests: testthat, knitr, rmarkdown
Published: 2019-10-23
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne at rug.nl>
License: GPL-3
NeedsCompilation: no
CRAN checks: SADISA results

Documentation:

Reference manual: SADISA.pdf
Vignettes: "Using SADISA"

Downloads:

Package source: SADISA_1.2.tar.gz
Windows binaries: r-devel: SADISA_1.2.zip, r-release: SADISA_1.2.zip, r-oldrel: SADISA_1.2.zip
macOS binaries: r-release (arm64): SADISA_1.2.tgz, r-oldrel (arm64): SADISA_1.2.tgz, r-release (x86_64): SADISA_1.2.tgz, r-oldrel (x86_64): SADISA_1.2.tgz
Old sources: SADISA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SADISA 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.
Health stats visible at Monitor.