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rdacca.hp: 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,13: 782-788 <DOI:10.1111/2041-210X.13800>.
Getting started
Browse package contents
Package details |
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| Author | Jiangshan Lai [aut, cre] (<https://orcid.org/0000-0002-0279-8816>), Kim Nimon [aut], Yao Liu [aut], Pedro Peres-Neto [aut] |
| Maintainer | Jiangshan Lai <lai@njfu.edu.cn> |
| License | GPL |
| Version | 1.1-1 |
| URL | https://github.com/laijiangshan/rdacca.hp |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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