R Under development (unstable) (2025-05-03 r88188 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 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) 0.2239 Var1ii 0.8303 0.70 Var3 (Intercept) 16.6385 Var4II 0.5694 1.00 Var4III 5.8699 0.71 0.72 Residual 4.0518 Number of obs: 1500, groups: Var2, 5; Var3, 5 Fixed Effects: (Intercept) 10.49 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 2.40 0.20 2.59