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 under a mainland-island model. One must specify the mainland (metacommunity) model and the island (local) community model. It assumes that species fluctuate independently. See Haegeman, B. & R.S. Etienne (2017). A general sampling formula for community structure data. Methods in Ecology & Evolution. In press.

Version: 1.0
Imports: subplex, pracma, DDD
Suggests: testthat, knitr, rmarkdown
Published: 2017-04-21
Author: Rampal S. Etienne & Bart Haegeman
Maintainer: Rampal S. Etienne <r.s.etienne at>
License: GPL-3
NeedsCompilation: no
CRAN checks: SADISA results


Reference manual: SADISA.pdf
Vignettes: "Using SADISA"
Package source: SADISA_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: SADISA_1.0.tgz, r-oldrel: SADISA_1.0.tgz


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