Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
Estimate the autocorrelation by unit (ID)
Format results from a linear mixed model
Summarize a Variable in a Long Dataset by ID
Create lag variables and evaluate models with different number of lags
Intraclass Correlation Coefficient (ICC) from Mixed Models
Mean decomposition of a variable by group(s)
Function to calculate the mean and deviations from mean
Compare two lmer models
modelDiagnostics method for lme objects
modelDiagnostics method for merMod objects
modelPerformance method for merMod objects
estimate detailed results per variable and effect sizes for both fixed...
Estimate the effective sample size from longitudinal data
Calculate multilevel omega reliability
Plot Diagnostics for an lme model
Plot Diagnostics for an lmer model
merMod method for R2
Convert ranef() output to long format
Create data and plots for brm random effect models
residualDiagnostics methods for lme objects
residualDiagnostics methods for merMod objects
Weighted Simple Moving Average
Effect sizes, diagnostics and performance metrics for multilevel and mixed effects models. Includes marginal and conditional 'R2' estimates for linear mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.
Useful links