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:	0.4-5
Depends:	vegan (≥ 2.5-0), R (≥ 3.4.0)
Imports:	stats, graphics, utils, grDevices
Suggests:	testthat, knitr, rmarkdown, pls
Published:	2024-10-06
DOI:	10.32614/CRAN.package.cocorresp
Author:	Gavin L. Simpson [aut, cre, trl] (R port of Matlab routines, plus additional code), Cajo J.F. ter Braak [aut] (Original Matlab routines), Andre P Schaffers [aut] (Original Matlab routines), Ron Wehrens [aut] (For simpls.fit()), Bjorn-Helge Mevik [aut] (For simpls.fit())
Maintainer:	Gavin L. Simpson <ucfagls at gmail.com>
BugReports:	https://github.com/gavinsimpson/cocorresp/issues
License:	GPL-2
URL:	https://gavinsimpson.github.io/cocorresp/
NeedsCompilation:	no
Citation:	cocorresp citation info
Materials:	README ChangeLog
In views:	Environmetrics, Psychometrics
CRAN checks:	cocorresp results

Documentation:

Reference manual:	cocorresp.pdf
Vignettes:	Introduction to Co-correspondence Analysis (source, R code)

Downloads:

Package source:	cocorresp_0.4-5.tar.gz
Windows binaries:	r-devel: cocorresp_0.4-5.zip, r-release: cocorresp_0.4-5.zip, r-oldrel: cocorresp_0.4-5.zip
macOS binaries:	r-release (arm64): cocorresp_0.4-5.tgz, r-oldrel (arm64): cocorresp_0.4-5.tgz, r-release (x86_64): cocorresp_0.4-5.tgz, r-oldrel (x86_64): cocorresp_0.4-5.tgz
Old sources:	cocorresp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cocorresp to link to this page.