R Under development (unstable) (2023-11-12 r85514 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> require(robustlmm)
Loading required package: robustlmm
Loading required package: lme4
Loading required package: Matrix
> 
> testData <- generateAnovaDatasets(1, c(2, 5), c(3, 5), 10)$generateData(1)
> rlmer(y ~ (1 + Var1|Var2) + (1 + Var4|Var3), testData, max.iter = 1)
boundary (singular) fit: see help('isSingular')
Robust linear mixed model fit by DASvar 
Formula: y ~ (1 + Var1 | Var2) + (1 + Var4 | Var3) 
   Data: testData 
Random effects:
 Groups   Name        Std.Dev. Corr      
 Var2     (Intercept)  0.2503            
          Var1ii       3.9905  -0.23     
 Var3     (Intercept) 18.8204            
          Var4II       3.9319  0.16      
          Var4III      6.7700  1.00  0.25
 Residual              3.8820            
Number of obs: 1500, groups: Var2, 5; Var3, 5
Fixed Effects:
(Intercept)  
     -24.33  
Warning message:
In .rlmerInit(lcall, pf, formula, data, method, rho.e, rho.b, rho.sigma.e,  :
  Method 'DAStau' does not support blocks of size larger than 2. Falling back to method 'DASvar'.
> ## test is that this runs without errors
> 
> proc.time()
   user  system elapsed 
   3.68    0.31    3.98