• Robustness of linear mixed-effects models to violations of distributional assumptions 

      Schielzeth, Holger; Dingemanse, Niels J.; Nakagawa, Shinichi; Westneat, David F.; Allegue, Hassen; Teplitsky, Céline; Réale, Denis; Dochtermann, Ned A.; Garamszegi, László Zsolt; Araya-Ajoy, Yimen (Peer reviewed; Journal article, 2020)
      Linear mixed-effects models are powerful tools for analysing complex datasets with repeated or clustered observations, a common data structure in ecology and evolution. Mixed-effects models involve complex fitting procedures ...