Last updated on 2026-10-09 23:49:52 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.9.8 | 3.72 | 57.02 | 60.74 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.9.8 | 3.70 | 43.09 | 46.79 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.9.8 | 43.57 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.9.8 | 42.02 | ERROR | |||
| r-devel-windows-x86_64 | 0.9.8 | 7.00 | 80.00 | 87.00 | OK | |
| r-patched-linux-x86_64 | 0.9.8 | 4.76 | 53.54 | 58.30 | OK | |
| r-release-linux-x86_64 | 0.9.8 | OK | ||||
| r-release-macos-arm64 | 0.9.8 | 1.00 | 18.00 | 19.00 | OK | |
| r-release-macos-x86_64 | 0.9.8 | 3.00 | 66.00 | 69.00 | OK | |
| r-release-windows-x86_64 | 0.9.8 | 7.00 | 73.00 | 80.00 | OK | |
| r-oldrel-macos-arm64 | 0.9.8 | OK | ||||
| r-oldrel-macos-x86_64 | 0.9.8 | 3.00 | 51.00 | 54.00 | OK | |
| r-oldrel-windows-x86_64 | 0.9.8 | 9.00 | 88.00 | 97.00 | OK |
Version: 0.9.8
Check: examples
Result: ERROR
Running examples in ‘banter-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: runBanterModel
> ### Title: Run BANTER Model
> ### Aliases: runBanterModel
>
> ### ** Examples
>
> data(train.data)
> # initialize BANTER model with event data
> bant.mdl <- initBanterModel(train.data$events)
> # add all detector models
> bant.mdl <- addBanterDetector(
+ bant.mdl, train.data$detectors,
+ ntree = 50, sampsize = 1, num.cores = 1
+ )
> # run BANTER event model
> bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
Warning: Event model: sampsize = 1 is >= species frequencies:
G.macrorhynchus: 1
O.orcinus: 1
These species will be used in the model:
D.capensis: 7
D.delphis: 115
G.griseus: 5
L.obliquidens: 10
S.coeruleoalba: 13
> summary(bant.mdl)
Model run times:
start stop run.time
bp "2026-10-08 23:54:56" "2026-10-08 23:54:56" "0.24 secs"
dw "2026-10-08 23:54:56" "2026-10-08 23:54:56" "0.35 secs"
ec "2026-10-08 23:54:56" "2026-10-08 23:54:56" "0.22 secs"
event "2026-10-08 23:54:56" "2026-10-08 23:54:58" "1.15 secs"
Number of events and model classification rate:
species num.events bp dw ec event
1 D.capensis 7 13.43 10.86 29.429 85.71
2 D.delphis 116 27.89 12.01 4.466 42.61
3 G.griseus 5 34.62 83.50 8.800 80.00
4 G.macrorhynchus 1 34.00 20.00 14.000 NA
5 L.obliquidens 10 18.57 12.09 23.200 20.00
6 O.orcinus 1 NA 50.00 40.000 NA
7 S.coeruleoalba 13 27.61 28.60 27.077 84.62
8 Overall 153 26.95 14.36 9.232 48.00
<< Summary for "event" model >>
Number of trees: 1000
Sample sizes:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
1 1 1 1 1
Distribution of percent correctly classified overall in last 500 (50%) trees:
Min. 1st Qu. Median Mean 3rd Qu. Max.
48.00 49.33 50.00 49.76 50.00 52.00
Sample inbag proportion distribution:
Min. 1st Qu. Median Mean 3rd Qu. Max.
expected 0.9 7.7 10.0 10.6 14.3 20.0
observed 0.3 0.7 0.9 3.3 1.8 21.9
Confusion matrix:
n D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
D.capensis 7 6 1 0 0 0
D.delphis 115 58 49 1 0 7
G.griseus 5 0 0 4 1 0
L.obliquidens 10 0 2 5 2 1
S.coeruleoalba 13 2 0 0 0 11
Overall 150 NA NA NA NA NA
pct.correct LCI_0.95 UCI_0.95
D.capensis 85.71429 42.127680 99.63897
D.delphis 42.60870 33.435135 52.17235
G.griseus 80.00000 28.358206 99.49492
L.obliquidens 20.00000 2.521073 55.60955
S.coeruleoalba 84.61538 54.552894 98.07933
Overall 48.00000 39.782317 56.29824
Percent inbag summary:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
expected 14.285714 0.8695652 20.000000 10.000000 7.6923077
mean 14.285714 0.8695652 20.000000 10.000000 7.6923077
median 14.600000 0.8000000 20.200000 9.900000 7.5000000
mode 14.646743 0.7975137 21.238709 9.902653 7.2550490
min 10.900000 0.3000000 17.500000 8.300000 6.5000000
max 16.500000 1.9000000 21.900000 12.500000 10.0000000
sd 1.760141 0.3209563 1.942936 1.087300 0.9268779
ci.lower 11.290000 0.4850000 17.610000 8.525000 6.6200000
ci.upper 16.335000 1.7150000 21.890000 12.095000 9.5800000
Error in `gtable_add_grob()`:
! `grobs` must be a single grob or a list of grobs, not a list.
Backtrace:
▆
1. ├─base::summary(bant.mdl)
2. └─banter::summary(bant.mdl)
3. └─banter (local) .local(object, ...)
4. ├─base::suppressWarnings(...)
5. │ └─base::withCallingHandlers(...)
6. └─gridExtra::grid.arrange(trace, inbag, nrow = 2)
7. └─gridExtra::arrangeGrob(...)
8. └─gtable::gtable_add_grob(grobs = grobs)
9. └─gtable:::stop_input_type(grobs, "a single grob or a list of grobs")
10. └─rlang::abort(message, ..., call = call, arg = arg)
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.9.8
Check: examples
Result: ERROR
Running examples in ‘banter-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: runBanterModel
> ### Title: Run BANTER Model
> ### Aliases: runBanterModel
>
> ### ** Examples
>
> data(train.data)
> # initialize BANTER model with event data
> bant.mdl <- initBanterModel(train.data$events)
> # add all detector models
> bant.mdl <- addBanterDetector(
+ bant.mdl, train.data$detectors,
+ ntree = 50, sampsize = 1, num.cores = 1
+ )
> # run BANTER event model
> bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
Warning: Event model: sampsize = 1 is >= species frequencies:
G.macrorhynchus: 1
O.orcinus: 1
These species will be used in the model:
D.capensis: 7
D.delphis: 115
G.griseus: 5
L.obliquidens: 10
S.coeruleoalba: 13
> summary(bant.mdl)
Model run times:
start stop run.time
bp "2026-10-09 15:50:48" "2026-10-09 15:50:48" "0.16 secs"
dw "2026-10-09 15:50:48" "2026-10-09 15:50:49" "0.25 secs"
ec "2026-10-09 15:50:49" "2026-10-09 15:50:49" "0.17 secs"
event "2026-10-09 15:50:49" "2026-10-09 15:50:49" "0.41 secs"
Number of events and model classification rate:
species num.events bp dw ec event
1 D.capensis 7 13.43 10.86 29.429 85.71
2 D.delphis 116 27.89 12.01 4.466 42.61
3 G.griseus 5 34.62 83.50 8.800 80.00
4 G.macrorhynchus 1 34.00 20.00 14.000 NA
5 L.obliquidens 10 18.57 12.09 23.200 20.00
6 O.orcinus 1 NA 50.00 40.000 NA
7 S.coeruleoalba 13 27.61 28.60 27.077 84.62
8 Overall 153 26.95 14.36 9.232 48.00
<< Summary for "event" model >>
Number of trees: 1000
Sample sizes:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
1 1 1 1 1
Distribution of percent correctly classified overall in last 500 (50%) trees:
Min. 1st Qu. Median Mean 3rd Qu. Max.
48.00 49.33 50.00 49.76 50.00 52.00
Sample inbag proportion distribution:
Min. 1st Qu. Median Mean 3rd Qu. Max.
expected 0.9 7.7 10.0 10.6 14.3 20.0
observed 0.3 0.7 0.9 3.3 1.8 21.9
Confusion matrix:
n D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
D.capensis 7 6 1 0 0 0
D.delphis 115 58 49 1 0 7
G.griseus 5 0 0 4 1 0
L.obliquidens 10 0 2 5 2 1
S.coeruleoalba 13 2 0 0 0 11
Overall 150 NA NA NA NA NA
pct.correct LCI_0.95 UCI_0.95
D.capensis 85.71429 42.127680 99.63897
D.delphis 42.60870 33.435135 52.17235
G.griseus 80.00000 28.358206 99.49492
L.obliquidens 20.00000 2.521073 55.60955
S.coeruleoalba 84.61538 54.552894 98.07933
Overall 48.00000 39.782317 56.29824
Percent inbag summary:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
expected 14.285714 0.8695652 20.000000 10.000000 7.6923077
mean 14.285714 0.8695652 20.000000 10.000000 7.6923077
median 14.600000 0.8000000 20.200000 9.900000 7.5000000
mode 14.646743 0.7975137 21.238709 9.902653 7.2550490
min 10.900000 0.3000000 17.500000 8.300000 6.5000000
max 16.500000 1.9000000 21.900000 12.500000 10.0000000
sd 1.760141 0.3209563 1.942936 1.087300 0.9268779
ci.lower 11.290000 0.4850000 17.610000 8.525000 6.6200000
ci.upper 16.335000 1.7150000 21.890000 12.095000 9.5800000
Error in `gtable_add_grob()`:
! `grobs` must be a single grob or a list of grobs, not a list.
Backtrace:
▆
1. ├─base::summary(bant.mdl)
2. └─banter::summary(bant.mdl)
3. └─banter (local) .local(object, ...)
4. ├─base::suppressWarnings(...)
5. │ └─base::withCallingHandlers(...)
6. └─gridExtra::grid.arrange(trace, inbag, nrow = 2)
7. └─gridExtra::arrangeGrob(...)
8. └─gtable::gtable_add_grob(grobs = grobs)
9. └─gtable:::stop_input_type(grobs, "a single grob or a list of grobs")
10. └─rlang::abort(message, ..., call = call, arg = arg)
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.9.8
Check: examples
Result: ERROR
Running examples in ‘banter-Ex.R’ failed
The error most likely occurred in:
> ### Name: runBanterModel
> ### Title: Run BANTER Model
> ### Aliases: runBanterModel
>
> ### ** Examples
>
> data(train.data)
> # initialize BANTER model with event data
> bant.mdl <- initBanterModel(train.data$events)
> # add all detector models
> bant.mdl <- addBanterDetector(
+ bant.mdl, train.data$detectors,
+ ntree = 50, sampsize = 1, num.cores = 1
+ )
> # run BANTER event model
> bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
Warning: Event model: sampsize = 1 is >= species frequencies:
G.macrorhynchus: 1
O.orcinus: 1
These species will be used in the model:
D.capensis: 7
D.delphis: 115
G.griseus: 5
L.obliquidens: 10
S.coeruleoalba: 13
> summary(bant.mdl)
Model run times:
start stop run.time
bp "2026-10-08 10:11:04" "2026-10-08 10:11:05" "0.46 secs"
dw "2026-10-08 10:11:05" "2026-10-08 10:11:05" "0.71 secs"
ec "2026-10-08 10:11:05" "2026-10-08 10:11:06" "0.22 secs"
event "2026-10-08 10:11:06" "2026-10-08 10:11:07" "1.05 secs"
Number of events and model classification rate:
species num.events bp dw ec event
1 D.capensis 7 13.43 10.86 29.429 85.71
2 D.delphis 116 27.89 12.01 4.466 42.61
3 G.griseus 5 34.62 83.50 8.800 80.00
4 G.macrorhynchus 1 34.00 20.00 14.000 NA
5 L.obliquidens 10 18.57 12.09 23.200 20.00
6 O.orcinus 1 NA 50.00 40.000 NA
7 S.coeruleoalba 13 27.61 28.60 27.077 84.62
8 Overall 153 26.95 14.36 9.232 48.00
<< Summary for "event" model >>
Number of trees: 1000
Sample sizes:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
1 1 1 1 1
Distribution of percent correctly classified overall in last 500 (50%) trees:
Min. 1st Qu. Median Mean 3rd Qu. Max.
48.00 49.33 50.00 49.76 50.00 52.00
Sample inbag proportion distribution:
Min. 1st Qu. Median Mean 3rd Qu. Max.
expected 0.9 7.7 10.0 10.6 14.3 20.0
observed 0.3 0.7 0.9 3.3 1.8 21.9
Confusion matrix:
n D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
D.capensis 7 6 1 0 0 0
D.delphis 115 58 49 1 0 7
G.griseus 5 0 0 4 1 0
L.obliquidens 10 0 2 5 2 1
S.coeruleoalba 13 2 0 0 0 11
Overall 150 NA NA NA NA NA
pct.correct LCI_0.95 UCI_0.95
D.capensis 85.71429 42.127680 99.63897
D.delphis 42.60870 33.435135 52.17235
G.griseus 80.00000 28.358206 99.49492
L.obliquidens 20.00000 2.521073 55.60955
S.coeruleoalba 84.61538 54.552894 98.07933
Overall 48.00000 39.782317 56.29824
Percent inbag summary:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
expected 14.285714 0.8695652 20.000000 10.000000 7.6923077
mean 14.285714 0.8695652 20.000000 10.000000 7.6923077
median 14.600000 0.8000000 20.200000 9.900000 7.5000000
mode 14.646743 0.7975137 21.238709 9.902653 7.2550490
min 10.900000 0.3000000 17.500000 8.300000 6.5000000
max 16.500000 1.9000000 21.900000 12.500000 10.0000000
sd 1.760141 0.3209563 1.942936 1.087300 0.9268779
ci.lower 11.290000 0.4850000 17.610000 8.525000 6.6200000
ci.upper 16.335000 1.7150000 21.890000 12.095000 9.5800000
Error in `gtable_add_grob()`:
! `grobs` must be a single grob or a list of grobs, not a list.
Backtrace:
▆
1. ├─base::summary(bant.mdl)
2. └─banter::summary(bant.mdl)
3. └─banter (local) .local(object, ...)
4. ├─base::suppressWarnings(...)
5. │ └─base::withCallingHandlers(...)
6. └─gridExtra::grid.arrange(trace, inbag, nrow = 2)
7. └─gridExtra::arrangeGrob(...)
8. └─gtable::gtable_add_grob(grobs = grobs)
9. └─gtable:::stop_input_type(grobs, "a single grob or a list of grobs")
10. └─rlang::abort(message, ..., call = call, arg = arg)
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.9.8
Check: examples
Result: ERROR
Running examples in ‘banter-Ex.R’ failed
The error most likely occurred in:
> ### Name: runBanterModel
> ### Title: Run BANTER Model
> ### Aliases: runBanterModel
>
> ### ** Examples
>
> data(train.data)
> # initialize BANTER model with event data
> bant.mdl <- initBanterModel(train.data$events)
> # add all detector models
> bant.mdl <- addBanterDetector(
+ bant.mdl, train.data$detectors,
+ ntree = 50, sampsize = 1, num.cores = 1
+ )
> # run BANTER event model
> bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
Warning: Event model: sampsize = 1 is >= species frequencies:
G.macrorhynchus: 1
O.orcinus: 1
These species will be used in the model:
D.capensis: 7
D.delphis: 115
G.griseus: 5
L.obliquidens: 10
S.coeruleoalba: 13
> summary(bant.mdl)
Model run times:
start stop run.time
bp "2026-10-08 10:36:24" "2026-10-08 10:36:24" "0.27 secs"
dw "2026-10-08 10:36:24" "2026-10-08 10:36:25" "0.44 secs"
ec "2026-10-08 10:36:25" "2026-10-08 10:36:25" "0.21 secs"
event "2026-10-08 10:36:25" "2026-10-08 10:36:26" "0.65 secs"
Number of events and model classification rate:
species num.events bp dw ec event
1 D.capensis 7 13.43 10.86 29.429 85.71
2 D.delphis 116 27.89 12.01 4.466 42.61
3 G.griseus 5 34.62 83.50 8.800 80.00
4 G.macrorhynchus 1 34.00 20.00 14.000 NA
5 L.obliquidens 10 18.57 12.09 23.200 20.00
6 O.orcinus 1 NA 50.00 40.000 NA
7 S.coeruleoalba 13 27.61 28.60 27.077 84.62
8 Overall 153 26.95 14.36 9.232 48.00
<< Summary for "event" model >>
Number of trees: 1000
Sample sizes:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
1 1 1 1 1
Distribution of percent correctly classified overall in last 500 (50%) trees:
Min. 1st Qu. Median Mean 3rd Qu. Max.
48.00 49.33 50.00 49.76 50.00 52.00
Sample inbag proportion distribution:
Min. 1st Qu. Median Mean 3rd Qu. Max.
expected 0.9 7.7 10.0 10.6 14.3 20.0
observed 0.3 0.7 0.9 3.3 1.8 21.9
Confusion matrix:
n D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
D.capensis 7 6 1 0 0 0
D.delphis 115 58 49 1 0 7
G.griseus 5 0 0 4 1 0
L.obliquidens 10 0 2 5 2 1
S.coeruleoalba 13 2 0 0 0 11
Overall 150 NA NA NA NA NA
pct.correct LCI_0.95 UCI_0.95
D.capensis 85.71429 42.127680 99.63897
D.delphis 42.60870 33.435135 52.17235
G.griseus 80.00000 28.358206 99.49492
L.obliquidens 20.00000 2.521073 55.60955
S.coeruleoalba 84.61538 54.552894 98.07933
Overall 48.00000 39.782317 56.29824
Percent inbag summary:
D.capensis D.delphis G.griseus L.obliquidens S.coeruleoalba
expected 14.285714 0.8695652 20.000000 10.000000 7.6923077
mean 14.285714 0.8695652 20.000000 10.000000 7.6923077
median 14.600000 0.8000000 20.200000 9.900000 7.5000000
mode 14.646743 0.7975137 21.238709 9.902653 7.2550490
min 10.900000 0.3000000 17.500000 8.300000 6.5000000
max 16.500000 1.9000000 21.900000 12.500000 10.0000000
sd 1.760141 0.3209563 1.942936 1.087300 0.9268779
ci.lower 11.290000 0.4850000 17.610000 8.525000 6.6200000
ci.upper 16.335000 1.7150000 21.890000 12.095000 9.5800000
Error in `gtable_add_grob()`:
! `grobs` must be a single grob or a list of grobs, not a list.
Backtrace:
▆
1. ├─base::summary(bant.mdl)
2. └─banter::summary(bant.mdl)
3. └─banter (local) .local(object, ...)
4. ├─base::suppressWarnings(...)
5. │ └─base::withCallingHandlers(...)
6. └─gridExtra::grid.arrange(trace, inbag, nrow = 2)
7. └─gridExtra::arrangeGrob(...)
8. └─gtable::gtable_add_grob(grobs = grobs)
9. └─gtable:::stop_input_type(grobs, "a single grob or a list of grobs")
10. └─rlang::abort(message, ..., call = call, arg = arg)
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc