SADISA package for R: Species Abundance Distributions with Independent-Species Assumption

Bart Haegeman; Rampal Etienne

SADISA package for R: Species Abundance Distributions with Independent-Species Assumption

Bart Haegeman (Developer), Rampal Etienne (Developer)

Etienne group - Theoretical and Evolutionary Community Ecology

Research output: Non-textual form › Software › Academic

Abstract

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.

Original language	English
Media of output	Online
Publication status	Published - 23-Oct-2019

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@misc{b27faab17d654c969d071957cb88568d,

title = "SADISA package for R: Species Abundance Distributions with Independent-Species Assumption",

abstract = "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. ",

author = "Bart Haegeman and Rampal Etienne",

note = "22-04-2017: version 1.0 23-10-2019: version 1.2",

year = "2019",

month = oct,

day = "23",

language = "English",

}

TY - ADVS

T1 - SADISA package for R

T2 - Species Abundance Distributions with Independent-Species Assumption

A2 - Haegeman, Bart

A2 - Etienne, Rampal

N1 - 22-04-2017: version 1.0 23-10-2019: version 1.2

PY - 2019/10/23

Y1 - 2019/10/23

N2 - 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.

AB - 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.

UR - https://cran.r-project.org/package=SADISA

M3 - Software

ER -

SADISA package for R: Species Abundance Distributions with Independent-Species Assumption

Abstract

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A general sampling formula for community structure data

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