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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) <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 |
Reference manual: | cxr.pdf |
Vignettes: |
Getting started Data and model formats coexistence metrics User-defined Models Abundance projections Metapopulation projections |
Package source: | cxr_1.1.1.tar.gz |
Windows binaries: | r-devel: cxr_1.1.1.zip, r-release: cxr_1.1.1.zip, r-oldrel: cxr_1.1.1.zip |
macOS binaries: | r-release (arm64): cxr_1.1.1.tgz, r-oldrel (arm64): cxr_1.1.1.tgz, r-release (x86_64): cxr_1.1.1.tgz, r-oldrel (x86_64): cxr_1.1.1.tgz |
Old sources: | cxr archive |
Please use the canonical form https://CRAN.R-project.org/package=cxr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.