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: 0.2-1
Depends: stats, graphics, vegan (≥ 1.17-12)
Published: 2013-12-14
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 <ucfagls at gmail.com>
BugReports: https://r-forge.r-project.org/tracker/?atid=737&group_id=181&func=browse
License: GPL-2
URL: http://cocorresp.r-forge.r-project.org
NeedsCompilation: no
Citation: cocorresp citation info
Materials: ChangeLog
In views: Environmetrics, Multivariate, Psychometrics
CRAN checks: cocorresp results

Downloads:

Reference manual: cocorresp.pdf
Package source: cocorresp_0.2-1.tar.gz
Windows binaries: r-devel: cocorresp_0.2-1.zip, r-release: cocorresp_0.2-1.zip, r-oldrel: cocorresp_0.2-1.zip
OS X Snow Leopard binaries: r-release: cocorresp_0.2-1.tgz, r-oldrel: cocorresp_0.2-1.tgz
OS X Mavericks binaries: r-release: cocorresp_0.2-1.tgz
Old sources: cocorresp archive