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SADISA (version 1.2)

Species Abundance Distributions with Independent-Species Assumption

Description

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 .

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Version

Install

install.packages('SADISA')

Monthly Downloads

164

Version

1.2

License

GPL-3

Maintainer

Rampal Etienne

Last Published

October 23rd, 2019

Functions in SADISA (1.2)

fitresults

Maximum likelihood estimates and corresponding likelihood values for various fits to various tropical forest communities
convert_fa2sf

Converts different formats to represent multiple sample data
SADISA_ML

Performs maximum likelihood parameter estimation for requested model
SADISA_sim

Simulates species abundance data
integral_peak

Computes integral of a very peaked function
datasets

Data sets of various tropical forest communities
SADISA_test

Tests SADISA for data sets included in the paper by Haegeman & Etienne
SADISA_loglik

Computes loglikelihood for requested model