cxr-package: cxr: A Toolbox for Modelling Species Coexistence in R
In RadicalCommEcol/cxr: A Toolbox for Modelling Species Coexistence in R
cxr-package R Documentation
cxr: A Toolbox for Modelling Species Coexistence in R
Description
Recent developments in modern coexistence theory have advanced our understanding on how species are able to persist and co-occur with other species at varying abundances. However, applying this mathematical framework to empirical data is still challenging, precluding a larger adoption of the theoretical tools developed by empiricists. This package provides a complete toolbox for modelling interaction effects between species, and calculate fitness and niche differences. The functions are flexible, may accept covariates, and different fitting algorithms can be used. A full description of the underlying methods is available in García-Callejas, D., Godoy, O., and Bartomeus, I. (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/2041-210X.13443")}. Furthermore, the package provides a series of functions to calculate dynamics for stage-structured populations across sites.
Author(s)
Maintainer: David Garcia-Callejas david.garcia.callejas@gmail.com (ORCID)
Authors:
Ignasi Bartomeus nacho.bartomeus@gmail.com (ORCID)
Oscar Godoy ogodoy.re@gmail.com (ORCID)
Other contributors:
Maxime Lancelot [contributor]
Maria Paniw [contributor]
See Also
Useful links:
RadicalCommEcol/cxr documentation built on Oct. 29, 2023, 10:07 p.m.
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| cxr-package | R Documentation |
cxr: A Toolbox for Modelling Species Coexistence in R
Description
Recent developments in modern coexistence theory have advanced our understanding on how species are able to persist and co-occur with other species at varying abundances. However, applying this mathematical framework to empirical data is still challenging, precluding a larger adoption of the theoretical tools developed by empiricists. This package provides a complete toolbox for modelling interaction effects between species, and calculate fitness and niche differences. The functions are flexible, may accept covariates, and different fitting algorithms can be used. A full description of the underlying methods is available in García-Callejas, D., Godoy, O., and Bartomeus, I. (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/2041-210X.13443")}. Furthermore, the package provides a series of functions to calculate dynamics for stage-structured populations across sites.
Author(s)
Maintainer: David Garcia-Callejas david.garcia.callejas@gmail.com (ORCID)
Authors:
Ignasi Bartomeus nacho.bartomeus@gmail.com (ORCID)
Oscar Godoy ogodoy.re@gmail.com (ORCID)
Other contributors:
Maxime Lancelot [contributor]
Maria Paniw [contributor]
See Also
Useful links:
R Package Documentation
Browse R Packages
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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