multilevelTools0.1.1 package

Multilevel and Mixed Effects Model Diagnostics and Effect Sizes

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

acfByID

Estimate the autocorrelation by unit (ID)

APAStyler.modelTest.merMod

Format results from a linear mixed model

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...

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

residualDiagnostics.lme

residualDiagnostics methods for lme objects

residualDiagnostics.merMod

residualDiagnostics methods for merMod objects

Download source packageRead PDF manual

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>.

  • Maintainer: Joshua F. Wiley
  • License: GPL (>= 3)
  • Last published: 2020-03-04

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