Hierarchical and Variation Partitioning for Canonical Analysis

This function conducts variation partitioning and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor (or matrix) towards explained variation (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA), applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022) Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package.Methods in Ecology and Evolution,.


Reference manual

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1.0-6 by Jiangshan Lai, 3 days ago


Browse source code at https://github.com/cran/rdacca.hp

Authors: Jiangshan Lai , Pedro Peres-Neto , Kim Nimon

Documentation:   PDF Manual  

GPL license

Depends on vegan, ggplot2

See at CRAN