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SADISA
View on CRAN: Click
here
Download and install SADISA package within the R console
Install from CRAN:
install.packages("SADISA")
Install from Github:
library("remotes")
install_github("cran/SADISA")
Install by package version:
library("remotes")
install_version("SADISA", "1.2")
Attach the package and use:
library("SADISA")
Maintained by
Rampal S. Etienne
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-22
Latest Update: 2019-10-23
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 .
How to cite:
Rampal S. Etienne (2017). SADISA: Species Abundance Distributions with Independent-Species Assumption. R package version 1.2, https://cran.r-project.org/web/packages/SADISA. Accessed 29 Jan. 2025.
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Complete documentation for SADISA
Functions, R codes and Examples using
the SADISA R package
Some associated functions: SADISA_ML . SADISA_loglik . SADISA_sim . SADISA_test . convert_fa2sf . datasets . fitresults . integral_peak .
Some associated R codes: SADISA_ML.R . SADISA_loglik.R . SADISA_sim.R . SADISA_test.R . data.R . ldd_llik.R . mdd_llik.R . ms_llik.R . pm_llik.R . pmc_llik.R . pr_llik.R . rf_llik.R . utils.R . Full SADISA package functions and examples
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