R: Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

# Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

## Documentation for package ‘multilevelTools’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

acfByID | Estimate the autocorrelation by unit (ID)
APAStyler.modelTest.merMod | Format results from a linear mixed model
evaluateLags | Create lag variables and evaluate models with different number of lags
iccMixed | Intraclass Correlation Coefficient (ICC) from Mixed Models
meanDecompose | Mean decomposition of a variable by group(s)
meanDeviations | Function to calculate the mean and deviations from mean
modelCompare.merMod | Compare two lmer models
modelDiagnostics.lme | modelDiagnostics method for lme objects
modelDiagnostics.merMod | modelDiagnostics method for merMod objects
modelPerformance.merMod | modelPerformance method for merMod objects
modelTest.merMod | estimate detailed results per variable and effect sizes for both fixed and random effects from lmer models
nEffective | Estimate the effective sample size from longitudinal data
omegaSEM | Calculate multilevel omega reliability
plot.modelDiagnostics.lme | Plot Diagnostics for an 'lme' model
plot.modelDiagnostics.merMod | Plot Diagnostics for an 'lmer' model
R2.merMod | merMod method for R2
ranefdata | Create data and plots for 'brm' random effect models
residualDiagnostics.lme | residualDiagnostics methods for 'lme' objects
residualDiagnostics.merMod | residualDiagnostics methods for merMod objects
weighted.sma | Weighted Simple Moving Average