CRAN/E | partR2

partR2

Partitioning R2 in GLMMs

Installation

About

Partitioning the R2 of GLMMs into variation explained by each predictor and combination of predictors using semi-partial (part) R2 and inclusive R2. Methods are based on the R2 for GLMMs described in Nakagawa & Schielzeth (2013) and Nakagawa, Johnson & Schielzeth (2017).

Citation partR2 citation info
github.com/mastoffel/partR2
Bug report File report

Key Metrics

Version 0.9.2
R ≥ 3.5.0
Published 2024-03-04 47 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks partR2 results

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Maintainer

Maintainer

Martin A. Stoffel

martin.adam.stoffel@gmail.com

Authors

Martin A. Stoffel

aut / cre

Shinichi Nakagawa

aut

Holger Schielzeth

aut

Material

README
NEWS
Reference manual
Package source

In Views

MixedModels

Vignettes

Using partR2

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

partR2 archive

Depends

R ≥ 3.5.0

Imports

methods
stats
lme4 ≥ 1.1-21
pbapply ≥ 1.4-2
dplyr ≥ 1.0.0
purrr ≥ 0.3.3
rlang ≥ 0.4.2
tibble ≥2.1.3
magrittr ≥ 1.5
ggplot2 ≥ 3.3.0
tidyr ≥ 1.1

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