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.

Version: 0.3-0
Depends: vegan (≥ 2.2-0), R (≥ 3.0.0)
Imports: stats, graphics, utils, grDevices
Suggests: testthat, knitr
Published: 2016-02-29
Author: 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.
Maintainer: Gavin L. Simpson <ucfagls at>
License: GPL-2
NeedsCompilation: no
Citation: cocorresp citation info
Materials: README ChangeLog
In views: Environmetrics, Multivariate, Psychometrics
CRAN checks: cocorresp results


Reference manual: cocorresp.pdf
Vignettes: Introduction to cocorresp
Package source: cocorresp_0.3-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: cocorresp_0.3-0.tgz
OS X Mavericks binaries: r-oldrel: cocorresp_0.3-0.tgz
Old sources: cocorresp archive


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