gavinsimpson/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.

Getting started

Package details

AuthorOriginal 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.
MaintainerGavin L. Simpson <[email protected]>
LicenseGPL-2
Version0.3-999
URL https://github.com/gavinsimpson/cocorresp
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("gavinsimpson/cocorresp")
gavinsimpson/cocorresp documentation built on June 12, 2018, 8:16 a.m.