Robust Linear Mixed Effects Models
Split Datasets Into Chunks
Access Simulation Study Code
Create Rho-Functions With Custom Tuning Parameter
Merge Processed Fits
Other methods
Compute Partial Moments
Plot an Object of the "Psi Function" Class
Compute Asymptotic Efficiencies
Bind Generated Datasets
Change default arguments
Create comparison charts for multiple fits
Create Dataset List From List of Data Objects
Extract Tuning Parameters Used In Fitting
Fitting Functions
Generate ANOVA type datasets
Generate Longitudinal 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
Plot Method for "rlmerMod" objects.
Plot longitudinal data with robustness-weight colored lines
Prepare Dataset for Parametric Bootstrap
Process Datasets in Parallel
Process File of Stored Datasets
Process Fitted Objects
Shorten Labels
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
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.