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.

Package details

AuthorOriginal Matlab routines by C.J.F. ter Braak and A.P. Schaffers. R port by Gavin L. Simpson. Function simpls based on (package pls) by Ron Wehrens and Bjorn-Helge Mevik.
MaintainerGavin L. Simpson <>
Package repositoryView on CRAN
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cocorresp documentation built on May 7, 2021, 9:06 a.m.