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CRAN Package Check Results for Package ipred

Last updated on 2026-08-13 05:51:30 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang ERROR
r-devel-linux-x86_64-debian-gcc 0.9-15 8.33 88.30 96.63 ERROR
r-devel-linux-x86_64-fedora-clang 0.9-15 8.00 81.42 89.42 ERROR
r-devel-linux-x86_64-fedora-gcc 0.9-15 8.00 83.07 91.07 ERROR
r-devel-windows-x86_64 0.9-15 15.00 214.00 229.00 ERROR
r-patched-linux-x86_64 0.9-15 10.66 108.78 119.44 ERROR
r-release-linux-x86_64 0.9-15 10.32 111.10 121.42 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 16.00 142.00 158.00 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 24.00 162.00 186.00 ERROR

Check Details

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: 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

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