Contributions of each fixed effect for each full model, determined by using the “glmm.hp” package.

<p>These contributions were calculated by hierarchically partitioning the marginal R² of the generalized mixed-effect model, based on the output from the r.squaredGLMM() function in the “MuMIn” package.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-10-28
DOI
https://doi.org/10.1371/journal.pone.0290212.s015
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
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article

Contributions of each fixed effect for each full model, determined by using the “glmm.hp” package.

Figshare
Statistical Methods and Bayesian Inference
article

Contributions of each fixed effect for each full model, determined by using the “glmm.hp” package.

article en

Abstract

<p>These contributions were calculated by hierarchically partitioning the marginal R² of the generalized mixed-effect model, based on the output from the r.squaredGLMM() function in the “MuMIn” package.</p> <p>(DOCX)</p>

Figshare
Decent work and economic growth
Openalex Percentile: Top 70%
Statistical Methods and Bayesian Inference
DOISourceOpenAlex
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