Multilevel and Mixed Effects Model Diagnostics and Effect Sizes


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Documentation for package ‘multilevelTools’ version 0.2.0

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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 brms random effect models
residualDiagnostics.lme residualDiagnostics methods for lme objects
residualDiagnostics.merMod residualDiagnostics methods for merMod objects
weighted.sma Weighted Simple Moving Average