logLikelihood.ESF: Likelihood of the Etienne sampling formula

In GUILDS: Implementation of Sampling Formulas for the Unified Neutral Model of Biodiversity and Biogeography, with or without Guild Structure

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

theta	Parameter value for the fundamental biodiversity number theta
m	Parameter value for migration
abund	Vector containing abundance data

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)

GUILDS documentation built on Aug. 21, 2023, 5:10 p.m.