logLikelihood.ESF

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

A collection of sampling formulas for the unified neutral
model of biogeography and biodiversity. Alongside the sampling
formulas, it includes methods to perform maximum likelihood
optimization of the sampling formulas, methods to generate data given
the neutral model, and methods to estimate the expected species
abundance distribution. Sampling formulas included in the GUILDS
package are the Etienne Sampling Formula (Etienne 2005), the guild
sampling formula, where guilds are assumed to differ in dispersal
ability (Janzen et al. 2015), and the guilds sampling formula
conditioned on guild size (Janzen et al. 2015).

Thijs Janzen

GUILDS

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

Bart Haegeman

Franck Jabot

Jerome Chave

logLikelihood.ESF function

<dl> <dt>theta</dt>
<dd>Parameter value for the fundamental biodiversity number theta</dd>
 <dt>m</dt>
<dd>Parameter value for migration</dd>
 <dt>abund</dt>
<dd>Vector containing abundance data</dd></dl>

Arguments

Author

Likelihood of the Etienne sampling formula — logLikelihood.ESF

<dl>

 <dt>theta</dt>
<dd>Parameter value for the fundamental biodiversity number theta</dd>


 <dt>m</dt>
<dd>Parameter value for migration</dd>


 <dt>abund</dt>
<dd>Vector containing abundance data</dd>

</dl>

logLikelihood.ESF: Likelihood of the Etienne sampling formula

Description

Usage

Value

Arguments

Author

References

Examples