A Toolbox for Modelling Species Coexistence in R

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 GarcĂ­a-Callejas, D., Godoy, O., and Bartomeus, I. (2020) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("cxr")

1.0.0 by David Garcia-Callejas, 6 months ago


https://github.com/RadicalCommEcol/cxr


Report a bug at https://github.com/RadicalCommEcol/cxr/issues


Browse source code at https://github.com/cran/cxr


Authors: David Garcia-Callejas [aut, cre] , Ignasi Bartomeus [aut] , Oscar Godoy [aut] , Maxime Lancelot [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports optimx, stats, mvtnorm

Suggests ggplot2, tidyr, dplyr, magrittr, knitr, stringr, rmarkdown, testthat, BB, ucminf, dfoptim, minqa, hydroPSO, GenSA, DEoptimR, nloptr


See at CRAN