Robust Linear Mixed Effects Models
Access Simulation Study Code
Compute Asymptotic Efficiencies
Bind Generated Datasets
Change default arguments
Create comparison charts for multiple fits
Create Dataset List From List of Data Objects
Create Rho-Functions With Custom Tuning Parameter
Extract Tuning Parameters Used In Fitting
Fitting Functions
Generate ANOVA type datasets
Generate Mixed Effects Datasets
Generate Datasets To Create Sensitivity Curves
Extract or Get Generalize Components from a Fitted Mixed Effects Model
Lapply for generated datasets
Load And Merge Partial Results
Merge Processed Fits
Other methods
Compute Partial Moments
Plot an Object of the "Psi Function" Class
Plot Method for "rlmerMod" objects.
Prepare Dataset for Parametric Bootstrap
Process Datasets in Parallel
Process File of Stored Datasets
Process Fitted Objects
Classical, Huber and smoothed Huber psi- or rho-functions
Convert to Proposal 2 weight function
Get residuals
Robust Scoring Equations Estimator for Linear Mixed Models
rlmerMod Class
Robust linear mixed effects models
Save datasets
Shorten Labels
Split Datasets Into Chunks
Implements the Robust Scoring Equations estimator to fit linear mixed effects models robustly. Robustness is achieved by modification of the scoring equations combined with the Design Adaptive Scale approach.