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.

Documentation

Manual: cocorresp.pdf
Vignette: Introduction to cocorresp

Maintainer: Gavin L. Simpson <ucfagls at gmail.com>

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 simpls.fit (package pls) by Ron Wehrens and Bjorn-Helge Mevik.

Install package and any missing dependencies by running this line in your R console:

install.packages("cocorresp")

Depends vegan(>=2.2-0), R (>= 3.0.0)
Imports stats, graphics, utils, grDevices
Suggests testthat, knitr
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Package cocorresp
Materials
URL https://github.com/gavinsimpson/cocorresp
Task Views Environmetrics , Multivariate , Psychometrics
Version 0.3-0
Published 2016-02-29
License GPL-2
BugReports https://github.com/gavinsimpson/cocorresp/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks cocorresp check results
Package source cocorresp_0.3-0.tar.gz