19 июн. 2021 г. · I've been able to find tutorials on how to check assumptions for a linear mixed model, but I can't find anything that walks me through how ...

8 янв. 2019 г. · GLMMs do assume that variances are equal between groups on the latent scale (before taking the link function), but that does not translate into ...

18 окт. 2023 г. · For checking fit of mixed models, probably the best way is to use randomized residuals (DHARMa package) or posterior predictive checks. Upvote

29 сент. 2021 г. · I'm trying to run a logistic mixed effects model in R using the lme4 package, but I have no idea how to test for model assumptions and even what ...

20 янв. 2022 г. · After running my model, and checking my assumptions, how do I perform a factorial anova to get the simple and interaction effects? Is it ...

18 янв. 2023 г. · If you add a categorical variable to a linear mixed model, the residuals within each level of the categorical variable should be normally distributed.

9 сент. 2024 г. · You will want to make sure you use a coding system, such as having k - 1 predictors for k(th) categories which is the most common method.

31 окт. 2022 г. · I need (desperate) help with my mixed effect models interpretation. For some background, I have 20 species that vary in microhabitat and ...

13 мар. 2022 г. · For homoskedasticity violation, the standard errors will be biased and estimates of regression coefficients will be less efficient.

18 янв. 2023 г. · I tested assumptions using shapiro.test(), qqplot(), plot(), and Deviance goodness of fit test. For my data the residuals looked homoscedastic ...