Last updated on 2026-08-03 18:50:29 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.9-15 | 9.85 | 118.86 | 128.71 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.9-15 | 7.61 | 85.41 | 93.02 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.9-15 | 18.00 | 178.30 | 196.30 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.9-15 | 88.48 | ERROR | |||
| r-devel-windows-x86_64 | 0.9-15 | 16.00 | 137.00 | 153.00 | ERROR | |
| r-patched-linux-x86_64 | 0.9-15 | 11.38 | 108.43 | 119.81 | ERROR | |
| r-release-linux-x86_64 | 0.9-15 | 9.84 | 108.10 | 117.94 | ERROR | |
| r-release-macos-arm64 | 0.9-15 | 3.00 | 34.00 | 37.00 | OK | |
| r-release-macos-x86_64 | 0.9-15 | 9.00 | 144.00 | 153.00 | OK | |
| r-release-windows-x86_64 | 0.9-15 | 15.00 | 141.00 | 156.00 | ERROR | |
| r-oldrel-macos-arm64 | 0.9-15 | OK | ||||
| r-oldrel-macos-x86_64 | 0.9-15 | 8.00 | 124.00 | 132.00 | OK | |
| r-oldrel-windows-x86_64 | 0.9-15 | 19.00 | 167.00 | 186.00 | ERROR |
Version: 0.9-15
Check: examples
Result: ERROR
Running examples in ‘ipred-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: errorest
> ### Title: Estimators of Prediction Error
> ### Aliases: errorest errorest.data.frame errorest.default
> ### Keywords: misc
>
> ### ** Examples
>
>
> # Classification
>
> data("iris")
> library("MASS")
>
> # force predict to return class labels only
> mypredict.lda <- function(object, newdata)
+ predict(object, newdata = newdata)$class
>
> # 10-fold cv of LDA for Iris data
> errorest(Species ~ ., data=iris, model=lda,
+ estimator = "cv", predict= mypredict.lda)
Call:
errorest.data.frame(formula = Species ~ ., data = iris, model = lda,
predict = mypredict.lda, estimator = "cv")
10-fold cross-validation estimator of misclassification error
Misclassification error: 0.02
>
> data("PimaIndiansDiabetes", package = "mlbench")
Warning in data("PimaIndiansDiabetes", package = "mlbench") :
data set ‘PimaIndiansDiabetes’ not found
> ## Not run:
> ##D # 632+ bootstrap of LDA for Diabetes data
> ##D errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
> ##D estimator = "632plus", predict= mypredict.lda)
> ## End(Not run)
>
> #cv of a fixed partition of the data
> list.tindx <- list(1:100, 101:200, 201:300, 301:400, 401:500,
+ 501:600, 601:700, 701:768)
>
> errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
+ estimator = "cv", predict = mypredict.lda,
+ est.para = control.errorest(list.tindx = list.tindx))
Error: object 'PimaIndiansDiabetes' not found
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64
Version: 0.9-15
Check: for new files in some other directories
Result: NOTE
Found the following files/directories:
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Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.9-15
Check: examples
Result: ERROR
Running examples in ‘ipred-Ex.R’ failed
The error most likely occurred in:
> ### Name: errorest
> ### Title: Estimators of Prediction Error
> ### Aliases: errorest errorest.data.frame errorest.default
> ### Keywords: misc
>
> ### ** Examples
>
>
> # Classification
>
> data("iris")
> library("MASS")
>
> # force predict to return class labels only
> mypredict.lda <- function(object, newdata)
+ predict(object, newdata = newdata)$class
>
> # 10-fold cv of LDA for Iris data
> errorest(Species ~ ., data=iris, model=lda,
+ estimator = "cv", predict= mypredict.lda)
Call:
errorest.data.frame(formula = Species ~ ., data = iris, model = lda,
predict = mypredict.lda, estimator = "cv")
10-fold cross-validation estimator of misclassification error
Misclassification error: 0.02
>
> data("PimaIndiansDiabetes", package = "mlbench")
Warning in data("PimaIndiansDiabetes", package = "mlbench") :
data set ‘PimaIndiansDiabetes’ not found
> ## Not run:
> ##D # 632+ bootstrap of LDA for Diabetes data
> ##D errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
> ##D estimator = "632plus", predict= mypredict.lda)
> ## End(Not run)
>
> #cv of a fixed partition of the data
> list.tindx <- list(1:100, 101:200, 201:300, 301:400, 401:500,
+ 501:600, 601:700, 701:768)
>
> errorest(diabetes ~ ., data=PimaIndiansDiabetes, model=lda,
+ estimator = "cv", predict = mypredict.lda,
+ est.para = control.errorest(list.tindx = list.tindx))
Error: object 'PimaIndiansDiabetes' not found
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-release-windows-x86_64, r-oldrel-windows-x86_64