• using R Under development (unstable) (2025-12-02 r89084)
• using platform: x86_64-pc-linux-gnu
• R was compiled by     clang version 21.1.6     flang version 21.1.6
• running under: Fedora Linux 42 (Workstation Edition)
• using session charset: UTF-8
• using option ‘--no-stop-on-test-error’
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• this is package ‘trouBBlme4SolveR’ version ‘0.1.3’
• package encoding: UTF-8
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• checking re-building of vignette outputs ... [182s/274s] ERROR Error(s) in re-building vignettes: --- re-building ‘introduction.Rnw’ using Sweave Loading required package: Matrix Warning in (function (fn, par, lower = rep.int(-Inf, n), upper = rep.int(Inf, :   failure to converge in 10000 evaluations Warning in optwrap(optimizer, devfun, start, rho$lower, control = control, :   convergence code 4 from Nelder_Mead: failure to converge in 10000 evaluations Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :   Model failed to converge with max|grad| = 0.256533 (tol = 0.002, component 1)   See ?lme4::convergence and ?lme4::troubleshooting. Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :   Model is nearly unidentifiable: very large eigenvalue  - Rescale variables?;Model is nearly unidentifiable: large eigenvalue ratio  - Rescale variables? Correlation matrix not shown by default, as p = 16 > 12. Use print(res$value, correlation=TRUE) or     vcov(res$value) if you need it Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :   Model failed to converge with max|grad| = 0.132723 (tol = 0.002, component 1)   See ?lme4::convergence and ?lme4::troubleshooting. boundary (singular) fit: see help('isSingular') Correlation matrix not shown by default, as p = 16 > 12. Use print(res$value, correlation=TRUE) or     vcov(res$value) if you need it Numeric predictors rescaled!!! The default multilevel model is singular since the between-Day variance for the intercept and the between-SUR.ID variance for the intercepts are zero. Then, we consider the next model after removing these random effects. Correlation matrix not shown by default, as p = 16 > 12. Use print(res$value, correlation=TRUE) or     vcov(res$value) if you need it boundary (singular) fit: see help('isSingular') The default multilevel model is singular since the between-Subject variance for the nsexage slope is zero. Then, we consider the next model after removing this random effect. boundary (singular) fit: see help('isSingular') The default multilevel model is singular since all the random-effects variances are zero. Then, we consider the next model after removing the random effects. Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :   Model is nearly unidentifiable: very large eigenvalue  - Rescale variables? Numeric predictors rescaled!!! Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :   Model failed to converge with max|grad| = 0.00276086 (tol = 0.002, component 1)   See ?lme4::convergence and ?lme4::troubleshooting. Loading required namespace: ggplot2 Warning: Some predictor variables are on very different scales: consider rescaling. You may also use (g)lmerControl(autoscale = TRUE) to improve numerical stability. Error: processing vignette 'introduction.Rnw' failed with diagnostics:  chunk 11 Error in dwmw(fit_1, scale = TRUE, verbose = TRUE) :   Too many iterations!! to get the model carat ~ depth + table + price + x + y + z + (1 + price | cut) to converge. Check it!! --- failed re-building ‘introduction.Rnw’ SUMMARY: processing the following file failed:   ‘introduction.Rnw’ Error: Vignette re-building failed. Execution halted
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• DONE

Status: 1 ERROR