Package: rdacca.hp
Type: Package
Title: Hierarchical and Variation Partitioning for Canonical Analysis
Version: 1.1-0
Date: 2023-5-23
Depends: R (>= 3.4.0),vegan,ggplot2
Author: Jiangshan Lai,Yao Liu,Pedro Peres-Neto,Kim Nimon
Maintainer: Jiangshan Lai <lai@njfu.edu.cn>
Description: 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>. 
License: GPL
URL: https://github.com/laijiangshan/rdacca.hp
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2023-05-23 08:30:49 UTC; janson
Repository: CRAN
Date/Publication: 2023-05-23 09:10:02 UTC
Built: R 4.2.0; ; 2023-07-11 01:33:49 UTC; unix
