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GUILDS
View on CRAN: Click
here
Download and install GUILDS package within the R console
Install from CRAN:
install.packages("GUILDS")
Install from Github:
library("remotes")
install_github("cran/GUILDS") Install by package version:
library("remotes")
install_version("GUILDS", "1.4.7") Attach the package and use:
library("GUILDS")
Maintained by
Thijs Janzen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-09-05
Latest Update: 2025-03-11
Description:
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).
How to cite:
Thijs Janzen (2014). GUILDS: Implementation of Sampling Formulas for the Unified Neutral Model of Biodiversity and Biogeography, with or without Guild Structure. R package version 1.4.7, https://cran.r-project.org/web/packages/GUILDS. Accessed 06 Aug. 2026.
Previous versions and publish date:
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Other R packages that GUILDS depends,
imports, suggests or enhances
Complete documentation for GUILDS
Functions, R codes and Examples using
the GUILDS R package
Some associated functions: GUILDS-internal . GUILDS-package . expected.SAD.Guilds.Conditional . expected.SAD.Guilds . expected.SAD . generate.ESF . generate.Guilds.Cond . generate.Guilds . logLikelihood.ESF . logLikelihood.Guilds.Conditional . logLikelihood.Guilds . maxLikelihood.ESF . maxLikelihood.Guilds.Conditional . maxLikelihood.Guilds . preston_plot .
Some associated R codes: Condition.R . ESF_function.R . RcppExports.R . calc_sum_kda.R . drawLocal.R . evaluateLogLik.R . expected.R . generateData.R . ll_conditional.R . ll_unconditional.R . loglikelihood_guilds.R . loglikelihood_guilds_conditional.R . maxlikelihood_guilds.R . maxlikelihood_guilds_conditional.R . visualisation.R . Full GUILDS package functions and examples
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