Likelihood of the Etienne sampling formula

Description

This function calculates the likelihood of the Etienne Sampling Formula, provided abundance data and parameter values.

Usage

	logLikelihood.ESF(theta, m, Abund)

Arguments

Value

Returns the LogLikelihood

Author(s)

Thijs Janzen

References

Etienne, R.S. (2005). A new sampling formula for neutral biodiversity. Ecology Letters, 8(3), 253-260.

Examples

	A <- c(1,1,1,3,5,8); #Artificial abundance dataset
	LL <- logLikelihood.ESF(theta = 7,m = 0.1,Abund = A)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GUILDS)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GUILDS/logLikelihood.ESF.Rd_%03d_medium.png", width=480, height=480)
> ### Name: logLikelihood.ESF
> ### Title: Likelihood of the Etienne sampling formula
> ### Aliases: logLikelihood.ESF
> 
> ### ** Examples
> 
> 	A <- c(1,1,1,3,5,8); #Artificial abundance dataset
> 	LL <- logLikelihood.ESF(theta = 7,m = 0.1,Abund = A)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>