cocorresp (0.4-1)

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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.

Maintainer: Gavin L. Simpson
Author(s): 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.

License: GPL-2

Uses: vegan, testthat, knitr

Released 2 months ago.

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