GUILDS-package: Package implementing the Guilds sampling formula for the...
In GUILDS: Implementation of Sampling Formulas for the Unified Neutral Model of Biodiversity and Biogeography, with or without Guild Structure
GUILDS-package R Documentation
Package implementing the Guilds sampling formula for the Neutral Theory of Biodiversity
Description
The GUILDS package contains a number of sampling formula's being the Etienne Sampling Formula (Etienne 2005), the GUILDS sampling formula (Janzen et al. 2014) and the GUILDS sampling formula conditioned on guild Size (Janzen et al. 2015). Furthermore it contains functions to generate data given the guilds model, with or without conditioning on guild size. C++ Code to obtain Sterling numbers of the first kind was adopted from the Tetame program by Jabot et al. (2008).
Updates
Version 1.4 : Cleaner README and Vignettes
Version 1.4 : Extend support to M1 processors where sizeof(long double) < 16
Version 1.4 : Comply with _R_CHECK_LENGTH_0_LOGIC2_
Version 1.3 : GUILDS is now on GitHub: https://github.com/thijsjanzen/GUILDS
Version 1.3 : Wrote code tests to check code integrity, code coverage is >95%
Version 1.3 : Modified maximum likelihood functions to take into account theta_x = theta_y = theta / 2
Version 1.3 : Added a plotting function to plot Preston style plots
Version 1.2.1 : Updated the User manual
Version 1.2 : fixed memory leak issues by adding extra vector access checks
Version 1.2 : fixed memory leak issues by introducing vectors in KDA code
Version 1.2 : renamed logLik to avoid shadowing of the function logLik in the package stats
Version 1.1 : removed malloc header from KDA code
Author(s)
Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
References
Janzen, T., Haegeman B., Etienne, R.S. (2015) A sampling formula for communities with multiple dispersal syndromes. Journal of Theoretical Biology 374: 94-106
Etienne, R.S. (2005). A new sampling formula for neutral biodiversity. Ecology Letters, 8(3), 253-260.
Jabot, F., Etienne, R.S., & Chave, J. (2008). Reconciling neutral community models and environmental filtering: theory and an empirical test. Oikos 117: 1308-1320
GUILDS documentation built on Aug. 21, 2023, 5:10 p.m.
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| GUILDS-package | R Documentation |
Package implementing the Guilds sampling formula for the Neutral Theory of Biodiversity
Description
The GUILDS package contains a number of sampling formula's being the Etienne Sampling Formula (Etienne 2005), the GUILDS sampling formula (Janzen et al. 2014) and the GUILDS sampling formula conditioned on guild Size (Janzen et al. 2015). Furthermore it contains functions to generate data given the guilds model, with or without conditioning on guild size. C++ Code to obtain Sterling numbers of the first kind was adopted from the Tetame program by Jabot et al. (2008).
Updates
Version 1.4 : Cleaner README and Vignettes
Version 1.4 : Extend support to M1 processors where sizeof(long double) < 16
Version 1.4 : Comply with _R_CHECK_LENGTH_0_LOGIC2_
Version 1.3 : GUILDS is now on GitHub: https://github.com/thijsjanzen/GUILDS
Version 1.3 : Wrote code tests to check code integrity, code coverage is >95%
Version 1.3 : Modified maximum likelihood functions to take into account theta_x = theta_y = theta / 2
Version 1.3 : Added a plotting function to plot Preston style plots
Version 1.2.1 : Updated the User manual
Version 1.2 : fixed memory leak issues by adding extra vector access checks
Version 1.2 : fixed memory leak issues by introducing vectors in KDA code
Version 1.2 : renamed logLik to avoid shadowing of the function logLik in the package stats
Version 1.1 : removed malloc header from KDA code
Author(s)
Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>
References
Janzen, T., Haegeman B., Etienne, R.S. (2015) A sampling formula for communities with multiple dispersal syndromes. Journal of Theoretical Biology 374: 94-106
Etienne, R.S. (2005). A new sampling formula for neutral biodiversity. Ecology Letters, 8(3), 253-260.
Jabot, F., Etienne, R.S., & Chave, J. (2008). Reconciling neutral community models and environmental filtering: theory and an empirical test. Oikos 117: 1308-1320
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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