Man pages for JWiley/multilevelTools
Multilevel and Mixed Effects Model Diagnostics and Effect Sizes
| acfByID | Estimate the autocorrelation by unit (ID) |
| APAStyler.modelTest.merMod | Format results from a linear mixed model |
| dot-make.replotdat | Convert re.data() output to a dataset for plotting |
| evaluateLags | Create lag variables and evaluate models with different... |
| 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... |
| 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 |
| ranef2long | Convert ranef() output to long format |
| 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 |
