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.

cocorresp fits symmetric and predictive co-correspondence (CoCA) models in R.

Released version

CRAN version

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Reference manual

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0.3-0 by Gavin L. Simpson, 3 years ago

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Authors: Original 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.

Documentation:   PDF Manual  

Task views: Analysis of Ecological and Environmental Data, Multivariate Statistics, Psychometric Models and Methods

GPL-2 license

Imports stats, graphics, utils, grDevices

Depends on vegan

Suggests testthat, knitr

See at CRAN