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