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cocorresp: Co-Correspondence Analysis Methods
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.
Getting started
Browse package contents
Package details |
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| Author | Gavin L. Simpson [aut, cre, trl] (R port of Matlab routines, plus additional code), Cajo J.F. ter Braak [aut] (Original Matlab routines), Andre P Schaffers [aut] (Original Matlab routines), Ron Wehrens [aut] (For simpls.fit()), Bjorn-Helge Mevik [aut] (For simpls.fit()) |
| Maintainer | Gavin L. Simpson <ucfagls@gmail.com> |
| License | GPL-2 |
| Version | 0.4-5 |
| URL | https://gavinsimpson.github.io/cocorresp/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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