Skip to contents
GUILDS GUILDS-package
Package implementing the Guilds sampling formula for the Neutral Theory of Biodiversity
expected.SAD.Guilds.Conditional()
Estimate the expected species abundance distribution of both guilds using the guilds model, provided theta, alpha_x, alpha_y, conditional on the size of guild X, Jx and the size of guild Y, Jy.
expected.SAD.Guilds()
Estimate the expected species abundance distribution of both guilds using the guilds model, provided theta, alpha_x, alpha_y and J.
expected.SAD()
Calculate the expected species abundance distribution of the standard neutral model, given theta, m and J
generate.ESF()
Generate community data under the standard neutral model of biodiversity, using the urn scheme as described in Etienne 2005
generate.Guilds.Cond()
Generate Artificial data under the GUILDS model, conditioned on Guild size
generate.Guilds()
Generate Artificial data under the GUILDS model
logLikelihood.ESF()
Likelihood of the Etienne sampling formula
logLikelihood.Guilds.Conditional()
Likelihood of the Guilds sampling formula, conditional on guild size
logLikelihood.Guilds()
Likelihood of the Guilds sampling formula
maxLikelihood.ESF()
Maximization of the loglikelihood given the standard Neutral Model, using the Etienne Sampling Formula
maxLikelihood.Guilds.Conditional()
Maximization of the loglikelihood under the Guilds Model, conditioned on guild size.
maxLikelihood.Guilds()
Maximization of the loglikelihood under the Guilds Model.
preston_plot()
Barplot in Preston style of an abundance dataset