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Fits predictive and symmetric co-correspondence analysis (CoCA) models to relate one data matrix to another data matrix. More specifically, CoCA maximises the weighted covariance between the weighted averaged species scores of one community and the weighted averaged species scores of another community. CoCA attempts to find patterns that are common to both communities.
Version: | 0.4-4 |
Depends: | vegan (≥ 2.5-0), R (≥ 3.4.0) |
Imports: | stats, graphics, utils, grDevices |
Suggests: | testthat, knitr, rmarkdown, pls |
Published: | 2024-02-26 |
DOI: | 10.32614/CRAN.package.cocorresp |
Author: | Original Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port by Gavin L. Simpson. Function simpls based on simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge Mevik. |
Maintainer: | Gavin L. Simpson <ucfagls at gmail.com> |
BugReports: | https://github.com/gavinsimpson/cocorresp/issues |
License: | GPL-2 |
URL: | https://gavinsimpson.github.io/cocorresp/ |
NeedsCompilation: | no |
Citation: | cocorresp citation info |
Materials: | README ChangeLog |
In views: | Environmetrics, Psychometrics |
CRAN checks: | cocorresp results |
Reference manual: | cocorresp.pdf |
Vignettes: |
Introduction to Co-correspondence Analysis |
Package source: | cocorresp_0.4-4.tar.gz |
Windows binaries: | r-devel: cocorresp_0.4-4.zip, r-release: cocorresp_0.4-4.zip, r-oldrel: cocorresp_0.4-4.zip |
macOS binaries: | r-release (arm64): cocorresp_0.4-4.tgz, r-oldrel (arm64): cocorresp_0.4-4.tgz, r-release (x86_64): cocorresp_0.4-4.tgz, r-oldrel (x86_64): cocorresp_0.4-4.tgz |
Old sources: | cocorresp archive |
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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.