This comprehensive tutorial provides a step-by-step guide for conducting advanced analyses when fitting linear mixed models using the R package 'nlme'. The video covers essential topics for researchers and data scientists working with complex statistical models.
Key Topics Covered:
Computing confidence intervals for effects
Performing likelihood ratio tests for nested models
Calculating and visualizing residuals
Computing Variance Inflation Factor (VIF) values
Checking distributions of variables and residuals
Identifying and handling outliers
Generating predictions from the fitted models
This guide is designed to enhance your understanding and application of linear mixed models in R, providing practical techniques for model diagnostics and interpretation.
Note: For your convenience, the R code used in this video is available in the Comments section below.