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: 0.4-6 Depends: vegan (≥ 2.5-0), R (≥ 3.4.0) Imports: stats, graphics, utils, grDevices Suggests: testthat, knitr, rmarkdown, pls Published: 2025-04-04 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 Language: en-GB Citation: cocorresp citation info Materials: README ChangeLog In views: Environmetrics, Psychometrics CRAN checks: cocorresp resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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