Using lme4 in R for Mixed Models

What Are Mixed Effect Models In R? - The Friendly StatisticianПодробнее

Effectively Comparing lme4 Mixed Models Without AICПодробнее

Resolving Posthoc Comparisons for Linear Mixed Effects Models in RПодробнее

How to Efficiently Extract Random Effects in the lme4 PackageПодробнее

Understanding How to Obtain Random-Effects Matrices from a Mixed ModelПодробнее

Resolving the Error in !is.na(v.e) && v.e 0 in lme4 for Mixed-Effects Models in RПодробнее

Understanding Random Intercepts and Random Slopes in Repeated Measures Models Using lme4Подробнее

Extracting Fitted Values from lmer Models in RПодробнее

How to Visualize lmer Model Predictions in R for Rat Volume DataПодробнее

How to Extract Information Criteria from lme4::lmer Models and Combine with SummaryПодробнее

Understanding Nested Fixed Effects in lmer: A Guide to Modeling with RПодробнее

Understanding Model Convergence in lme4: How to Check for Successful FittingПодробнее

Merging zeroinfl Poisson Regression with lmer Models in RПодробнее

Solving the lmer Error: Understanding Mixed Effects Models in RПодробнее

Longitudinal Data Analysis using R: How to Fit GLMMs#r #longitudinaldata #glmm #glmmTMB #rПодробнее

Solving the lme4 Error: Understanding Grouping Factors and Observations in Mixed ModelsПодробнее

Resolving cannot access to dependent variable Error in LMER Models with RПодробнее

Efficient Techniques to Loop Over Columns for Evaluating Fixed Effects in R Mixed ModelsПодробнее

Finding an equivalent for pdIdent in lmer - A Guide for Mixed-Models AnalysisПодробнее

Understanding Within-Group Associations Using lme4 in RПодробнее