Package: rdacca.hp
Type: Package
Title: Hierarchical and Variation Partitioning for Canonical Analysis
Version: 1.0-4
Date: 2021-12-4
Depends: R (>= 3.4.0),vegan,ggplot2
Author: Jiangshan Lai,Pedro Peres-Neto,Kim Nimon
Maintainer: Jiangshan Lai <lai@ibcas.ac.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 Chevan, A. and Sutherland, M. 1991 Hierarchical Partitioning.The American Statistician, 90-96 <doi:10.1080/00031305.1991.10475776>. 
License: GPL
URL: https://github.com/laijiangshan/rdacca.hp
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-12-06 04:02:10 UTC; Thinkpad
Repository: CRAN
Date/Publication: 2021-12-06 10:37:14 UTC
