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 GarcÃa-Callejas, D., Godoy, O., and Bartomeus, I. (2020) <doi:10.1111/2041-210X.13443>. Furthermore, the package provides a series of functions to calculate dynamics for stage-structured populations across sites.
Version: 1.1.1 Depends: R (≥ 3.5) Imports: Matrix, mvtnorm, optimx, stats Suggests: BB, DEoptimR, dfoptim, dplyr, GenSA, ggplot2, knitr, magrittr, minqa, nloptr, rmarkdown, stringr, testthat (≥ 0.8.0), tidyr, ucminf Published: 2023-10-26 DOI: 10.32614/CRAN.package.cxr Author: David Garcia-Callejas [aut, cre], Ignasi Bartomeus [aut], Oscar Godoy [aut], Maxime Lancelot [ctb], Maria Paniw [ctb] Maintainer: David Garcia-Callejas <david.garcia.callejas at gmail.com> BugReports: https://github.com/RadicalCommEcol/cxr/issues License: MIT + file LICENSE URL: https://github.com/RadicalCommEcol/cxr NeedsCompilation: no Citation: cxr citation info Materials: README NEWS CRAN checks: cxr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=cxr to link to this page.
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