Last updated on 2025-04-03 09:56:15 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.1 | 14.00 | 120.30 | 134.30 | OK | |
| r-devel-linux-x86_64-debian-gcc | 0.1.1 | 11.39 | 82.48 | 93.87 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.1 | 129.19 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.1 | 210.80 | ERROR | |||
| r-devel-macos-arm64 | 0.1.1 | 91.00 | OK | |||
| r-devel-macos-x86_64 | 0.1.1 | 118.00 | OK | |||
| r-devel-windows-x86_64 | 0.1.1 | 16.00 | 118.00 | 134.00 | OK | |
| r-patched-linux-x86_64 | 0.1.1 | 15.22 | 111.62 | 126.84 | OK | |
| r-release-linux-x86_64 | 0.1.1 | 11.98 | 110.04 | 122.02 | OK | |
| r-release-macos-arm64 | 0.1.1 | 58.00 | OK | |||
| r-release-macos-x86_64 | 0.1.1 | 97.00 | OK | |||
| r-release-windows-x86_64 | 0.1.1 | 14.00 | 110.00 | 124.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.1 | OK | ||||
| r-oldrel-macos-x86_64 | 0.1.1 | 102.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.1.1 | 19.00 | 160.00 | 179.00 | OK |
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in ‘caretForecast-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: ARml
> ### Title: Autoregressive forecasting using various Machine Learning
> ### models.
> ### Aliases: ARml
>
> ### ** Examples
>
>
> library(caretForecast)
>
> train_data <- window(AirPassengers, end = c(1959, 12))
>
> test <- window(AirPassengers, start = c(1960, 1))
>
> ARml(train_data, caret_method = "lm", max_lag = 12) -> fit
initial_window = NULL. Setting initial_window = 112
Loading required package: ggplot2
Loading required package: lattice
+ Training112: intercept=TRUE
- Training112: intercept=TRUE
+ Training113: intercept=TRUE
- Training113: intercept=TRUE
+ Training114: intercept=TRUE
- Training114: intercept=TRUE
+ Training115: intercept=TRUE
- Training115: intercept=TRUE
+ Training116: intercept=TRUE
- Training116: intercept=TRUE
Aggregating results
Fitting final model on full training set
>
> forecast(fit, h = length(test)) -> fc
>
> autoplot(fc) + autolayer(test)
Error in `geom_forecast()`:
! Problem while converting geom to grob.
ℹ Error occurred in the 2nd layer.
Caused by error in `structure()`:
! attempt to set an attribute on NULL
Backtrace:
▆
1. ├─base (local) `<fn>`(x)
2. ├─ggplot2:::print.ggplot(x)
3. │ ├─ggplot2::ggplot_gtable(data)
4. │ └─ggplot2:::ggplot_gtable.ggplot_built(data)
5. │ └─ggplot2:::by_layer(...)
6. │ ├─rlang::try_fetch(...)
7. │ │ ├─base::tryCatch(...)
8. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
9. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
10. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
11. │ │ └─base::withCallingHandlers(...)
12. │ └─ggplot2 (local) f(l = layers[[i]], d = data[[i]])
13. │ └─l$draw_geom(d, layout)
14. │ └─ggplot2 (local) draw_geom(..., self = self)
15. │ └─self$geom$draw_layer(...)
16. │ └─ggplot2 (local) draw_layer(..., self = self)
17. │ └─base::lapply(...)
18. │ └─ggplot2 (local) FUN(X[[i]], ...)
19. │ ├─rlang::inject(self$draw_panel(data, panel_params, coord, !!!params))
20. │ └─self$draw_panel(data, panel_params, coord)
21. │ └─ggplot2 (local) draw_panel(..., self = self)
22. │ └─base::lapply(...)
23. │ └─ggplot2 (local) FUN(X[[i]], ...)
24. │ └─self$draw_group(group, panel_params, coord, ...)
25. │ └─forecast (local) draw_group(...)
26. │ ├─ggplot2:::ggname(...)
27. │ │ └─grid::grobName(grob, prefix)
28. │ ├─grid::addGrob(...)
29. │ └─GeomForecastPoint$draw_panel(data[[1]], panel_scales, coord)
30. │ └─ggplot2 (local) draw_panel(..., self = self)
31. │ └─base::lapply(...)
32. │ └─ggplot2 (local) FUN(X[[i]], ...)
33. │ └─self$draw_group(group, panel_params, coord, ...)
34. │ └─forecast (local) draw_group(...)
35. │ └─forecast:::blendHex(data$colour[1], "gray30", 1)
36. │ ├─base::suppressWarnings(...)
37. │ │ └─base::withCallingHandlers(...)
38. │ ├─methods::coerce(...)
39. │ │ └─methods::as(from, class(to), strict = strict)
40. │ │ └─methods:::.identC(thisClass, Class)
41. │ └─base::structure(NULL, class = "HLS")
42. │ └─base::stop("attempt to set an attribute on NULL")
43. └─base::.handleSimpleError(...)
44. └─rlang (local) h(simpleError(msg, call))
45. └─handlers[[1L]](cnd)
46. └─cli::cli_abort(...)
47. └─rlang::abort(...)
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.1
Check: examples
Result: ERROR
Running examples in ‘caretForecast-Ex.R’ failed
The error most likely occurred in:
> ### Name: ARml
> ### Title: Autoregressive forecasting using various Machine Learning
> ### models.
> ### Aliases: ARml
>
> ### ** Examples
>
>
> library(caretForecast)
>
> train_data <- window(AirPassengers, end = c(1959, 12))
>
> test <- window(AirPassengers, start = c(1960, 1))
>
> ARml(train_data, caret_method = "lm", max_lag = 12) -> fit
initial_window = NULL. Setting initial_window = 112
Loading required package: ggplot2
Loading required package: lattice
+ Training112: intercept=TRUE
- Training112: intercept=TRUE
+ Training113: intercept=TRUE
- Training113: intercept=TRUE
+ Training114: intercept=TRUE
- Training114: intercept=TRUE
+ Training115: intercept=TRUE
- Training115: intercept=TRUE
+ Training116: intercept=TRUE
- Training116: intercept=TRUE
Aggregating results
Fitting final model on full training set
>
> forecast(fit, h = length(test)) -> fc
>
> autoplot(fc) + autolayer(test)
Error in `geom_forecast()`:
! Problem while converting geom to grob.
ℹ Error occurred in the 2nd layer.
Caused by error in `structure()`:
! attempt to set an attribute on NULL
Backtrace:
▆
1. ├─base (local) `<fn>`(x)
2. ├─ggplot2:::print.ggplot(x)
3. │ ├─ggplot2::ggplot_gtable(data)
4. │ └─ggplot2:::ggplot_gtable.ggplot_built(data)
5. │ └─ggplot2:::by_layer(...)
6. │ ├─rlang::try_fetch(...)
7. │ │ ├─base::tryCatch(...)
8. │ │ │ └─base (local) tryCatchList(expr, classes, parentenv, handlers)
9. │ │ │ └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
10. │ │ │ └─base (local) doTryCatch(return(expr), name, parentenv, handler)
11. │ │ └─base::withCallingHandlers(...)
12. │ └─ggplot2 (local) f(l = layers[[i]], d = data[[i]])
13. │ └─l$draw_geom(d, layout)
14. │ └─ggplot2 (local) draw_geom(..., self = self)
15. │ └─self$geom$draw_layer(...)
16. │ └─ggplot2 (local) draw_layer(..., self = self)
17. │ └─base::lapply(...)
18. │ └─ggplot2 (local) FUN(X[[i]], ...)
19. │ ├─rlang::inject(self$draw_panel(data, panel_params, coord, !!!params))
20. │ └─self$draw_panel(data, panel_params, coord)
21. │ └─ggplot2 (local) draw_panel(..., self = self)
22. │ └─base::lapply(...)
23. │ └─ggplot2 (local) FUN(X[[i]], ...)
24. │ └─self$draw_group(group, panel_params, coord, ...)
25. │ └─forecast (local) draw_group(...)
26. │ ├─ggplot2:::ggname(...)
27. │ │ └─grid::grobName(grob, prefix)
28. │ ├─grid::addGrob(...)
29. │ └─GeomForecastPoint$draw_panel(data[[1]], panel_scales, coord)
30. │ └─ggplot2 (local) draw_panel(..., self = self)
31. │ └─base::lapply(...)
32. │ └─ggplot2 (local) FUN(X[[i]], ...)
33. │ └─self$draw_group(group, panel_params, coord, ...)
34. │ └─forecast (local) draw_group(...)
35. │ └─forecast:::blendHex(data$colour[1], "gray30", 1)
36. │ ├─base::suppressWarnings(...)
37. │ │ └─base::withCallingHandlers(...)
38. │ ├─methods::coerce(...)
39. │ │ └─methods::as(from, class(to), strict = strict)
40. │ │ └─methods:::.identC(thisClass, Class)
41. │ └─base::structure(NULL, class = "HLS")
42. │ └─base::stop("attempt to set an attribute on NULL")
43. └─base::.handleSimpleError(...)
44. └─rlang (local) h(simpleError(msg, call))
45. └─handlers[[1L]](cnd)
46. └─cli::cli_abort(...)
47. └─rlang::abort(...)
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc