Packaged: 2017-07-25 07:12:59 UTC; christina

email = "geyer@umn.edu"), person("Sydney", "Benson", role = "ctb", email = "bens0104@stthomas.edu"))
Depends: R (>= 3.2.0), trust, mvtnorm, Matrix, parallel, doParallel
Imports: stats, foreach, itertools, utils

email = "geyer@umn.edu"), person("Sydney", "Benson", role = "ctb", email = "bens0643@umn.edu"))
Depends: R (>= 3.5), trust, mvtnorm, Matrix, parallel, doParallel

Depends: R (>= 4.0), trust, mvtnorm, Matrix, parallel, doParallel

email = "drchristinaknudson@gmail.com"), person("Charles J.", "Geyer", role = "ctb",
Packaged: 2022-10-07 19:54:20 UTC; christina.knudson

Title: Hierarchical Partitioning of Marginal R2 for Generalized
Authors@R: c(person("Jiangshan", "Lai", , "lai@ibcas.ac.cn", role = c("aut", "cre"),
Description: This function conducts commonality analysis and hierarchical partitioning to calculate the unique, shared (referred as to "common") and individual contributions of each predictor towards marginal R2 for generalized mixed-effect model, 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,<DOI:10.1111/2041-210X.13800>.
Author: Jiangshan Lai [aut, cre] (<https://orcid.org/0000-0002-0279-8816>),

Description: Conducts hierarchical partitioning to calculate individual contributions of each fixed effects towards marginal R2 for generalized mixed-effect model based on output of r.squaredGLMM() in 'MuMIn', 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,<DOI:10.1111/2041-210X.13800>.

Description: Conducts hierarchical partitioning to calculate individual contributions of each fixed effects towards marginal R2 for generalized mixed-effect model based on output of r.squaredGLMM() in 'MuMIn', 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>.