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