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 communitities.

Version: 0.1-9
Depends: stats, graphics, vegan
Published: 2010-03-13
Author: 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.
Maintainer: Gavin L. Simpson <gavin.simpson at ucl.ac.uk>
License: GPL-2
Citation: cocorresp citation info
In views: Environmetrics, Multivariate, Psychometrics
CRAN checks: cocorresp results

Downloads:

Package source: cocorresp_0.1-9.tar.gz
MacOS X binary: cocorresp_0.1-9.tgz
Windows binary: cocorresp_0.1-9.zip
Reference manual: cocorresp.pdf
News/ChangeLog:ChangeLog
Old sources: cocorresp archive