Variable importance in regression models

U Grömping - Wiley interdisciplinary reviews: Computational …, 2015 - Wiley Online Library
Regression analysis is one of the most‐used statistical methods. Often part of the research
question is the identification of the most important regressors or an importance ranking of the …

Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package

J Lai, Y Zou, J Zhang… - Methods in Ecology and …, 2022 - Wiley Online Library
Canonical analysis, a generalization of multiple regression to multiple‐response variables,
is widely used in ecology. Because these models often involve many parameters (one slope …

glmm. hp: an R package for computing individual effect of predictors in generalized linear mixed models

J Lai, Y Zou, S Zhang, X Zhang… - Journal of Plant Ecology, 2022 - academic.oup.com
Generalized linear mixed models (GLMMs) have been widely used in contemporary ecology
studies. However, determination of the relative importance of collinear predictors (ie fixed …

Multicollinearity in spatial genetics: separating the wheat from the chaff using commonality analyses

JG Prunier, M Colyn, X Legendre, KF Nimon… - Molecular …, 2015 - Wiley Online Library
Direct gradient analyses in spatial genetics provide unique opportunities to describe the
inherent complexity of genetic variation in wildlife species and are the object of many …

The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded

S Nakagawa, PCD Johnson… - Journal of the Royal …, 2017 - royalsocietypublishing.org
The coefficient of determination R 2 quantifies the proportion of variance explained by a
statistical model and is an important summary statistic of biological interest. However …

The green care code: How nature connectedness and simple activities help explain pro‐nature conservation behaviours

M Richardson, HA Passmore, L Barbett… - People and …, 2020 - Wiley Online Library
The biodiversity crisis demands greater engagement in pro‐nature conservation behaviours.
Research has examined factors which account for general pro‐environmental behaviour; …

partR2: Partitioning R2 in generalized linear mixed models

MA Stoffel, S Nakagawa, H Schielzeth - PeerJ, 2021 - peerj.com
The coefficient of determination R 2 quantifies the amount of variance explained by
regression coefficients in a linear model. It can be seen as the fixed-effects complement to …

[HTML][HTML] Cultural intelligence and work-related outcomes: A meta-analytic examination of joint effects and incremental predictive validity

C Schlaegel, NF Richter, V Taras - Journal of World Business, 2021 - Elsevier
This meta-analysis provides a synthesis of 70 studies on the relationship between cultural
intelligence (CQ) and six work-related outcomes. By applying the mutualism perspective and …

Temperature sensitivity of permafrost carbon release mediated by mineral and microbial properties

S Qin, D Kou, C Mao, Y Chen, L Chen, Y Yang - Science Advances, 2021 - science.org
Temperature sensitivity (Q 10) of permafrost carbon (C) release upon thaw is a vital
parameter for projecting permafrost C dynamics under climate warming. However, it remains …

Linking species traits and demography to explain complex temperature responses across levels of organization

DJ Wieczynski, P Singla, A Doan… - Proceedings of the …, 2021 - National Acad Sciences
Microbial communities regulate ecosystem responses to climate change. However,
predicting these responses is challenging because of complex interactions among …