Last updated on 2025-12-04 09:50:09 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.3 | 7.19 | 174.94 | 182.13 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.3 | 6.42 | 124.79 | 131.21 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.3 | 61.00 | 252.19 | 313.19 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.1.3 | 27.00 | 293.59 | 320.59 | ERROR | |
| r-devel-windows-x86_64 | 0.1.3 | 9.00 | 212.00 | 221.00 | OK | |
| r-patched-linux-x86_64 | 0.1.3 | 7.83 | 176.81 | 184.64 | ERROR | |
| r-release-linux-x86_64 | 0.1.2 | 8.42 | 184.24 | 192.66 | OK | |
| r-release-macos-arm64 | 0.1.4 | 2.00 | 56.00 | 58.00 | OK | |
| r-release-macos-x86_64 | 0.1.3 | 9.00 | 210.00 | 219.00 | OK | |
| r-release-windows-x86_64 | 0.1.3 | 10.00 | 207.00 | 217.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.1.3 | 2.00 | 54.00 | 56.00 | OK | |
| r-oldrel-macos-x86_64 | 0.1.3 | 7.00 | 227.00 | 234.00 | OK | |
| r-oldrel-windows-x86_64 | 0.1.3 | 12.00 | 281.00 | 293.00 | ERROR |
Version: 0.1.3
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
...
--- re-building ‘introduction.Rnw’ using Sweave
Loading required package: Matrix
Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model failed to converge with max|grad| = 0.0964374 (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| = 0.13305 (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| = 0.00276091 (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
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64
Version: 0.1.3
Check: re-building of vignette outputs
Result: 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$checkConv, :
Model failed to converge with max|grad| = 0.00276086 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
Loading required namespace: ggplot2
Warning: Some predictor variables are on very different scales: consider rescaling.
You may also use (g)lmerControl(autoscale = TRUE) to improve numerical stability.
Error: processing vignette 'introduction.Rnw' failed with diagnostics:
chunk 11
Error in dwmw(fit_1, scale = TRUE, verbose = TRUE) :
Too many iterations!! to get the model carat ~ depth + table + price + x + y + z + (1 + price | cut) to converge. Check it!!
--- failed re-building ‘introduction.Rnw’
SUMMARY: processing the following file failed:
‘introduction.Rnw’
Error: Vignette re-building failed.
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.1.3
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building 'introduction.Rnw' using Sweave
Loading required package: Matrix
Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model failed to converge with max|grad| = 0.0955869 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
Warning in checkConv(attr(opt, "derivs"), opt$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$checkConv, :
Model failed to converge with max|grad| = 0.132726 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
boundary (singular) fit: see help('isSingular')
Correlation matrix not shown by default, as p = 16 > 12.
Use print(res$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$checkConv, :
Model failed to converge with max|grad| = 0.00276077 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
Loading required namespace: ggplot2
Warning: Some predictor variables are on very different scales: consider rescaling.
You may also use (g)lmerControl(autoscale = TRUE) to improve numerical stability.
Error: processing vignette 'introduction.Rnw' failed with diagnostics:
chunk 11
Error in dwmw(fit_1, scale = TRUE, verbose = TRUE) :
Too many iterations!! to get the model carat ~ depth + table + price + x + y + z + (1 + price | cut) to converge. Check it!!
--- failed re-building 'introduction.Rnw'
SUMMARY: processing the following file failed:
'introduction.Rnw'
Error: Vignette re-building failed.
Execution halted
Flavor: r-release-windows-x86_64
Version: 0.1.3
Check: re-building of vignette outputs
Result: ERROR
Error(s) in re-building vignettes:
--- re-building 'introduction.Rnw' using Sweave
Loading required package: Matrix
Warning in checkConv(attr(opt, "derivs"), opt$par, ctrl = control$checkConv, :
Model failed to converge with max|grad| = 0.0965328 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
Warning in checkConv(attr(opt, "derivs"), opt$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$checkConv, :
Model failed to converge with max|grad| = 0.13305 (tol = 0.002, component 1)
See ?lme4::convergence and ?lme4::troubleshooting.
boundary (singular) fit: see help('isSingular')
Correlation matrix not shown by default, as p = 16 > 12.
Use print(res$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| = 0.00276077 (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
Flavor: r-oldrel-windows-x86_64
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.