Last updated on 2025-12-05 20:49:02 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.1.0 | 6.19 | 65.62 | 71.81 | NOTE | |
| r-devel-linux-x86_64-debian-gcc | 1.1.0 | 4.19 | 38.68 | 42.87 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.1.0 | 12.00 | 97.31 | 109.31 | OK | |
| r-devel-linux-x86_64-fedora-gcc | 1.1.0 | 12.00 | 105.82 | 117.82 | OK | |
| r-devel-windows-x86_64 | 1.1.0 | 7.00 | 85.00 | 92.00 | OK | |
| r-patched-linux-x86_64 | 1.1.0 | 5.49 | 60.63 | 66.12 | OK | |
| r-release-linux-x86_64 | 1.1.0 | 5.64 | 62.85 | 68.49 | OK | |
| r-release-macos-arm64 | 1.1.0 | OK | ||||
| r-release-macos-x86_64 | 1.1.0 | 6.00 | 90.00 | 96.00 | OK | |
| r-release-windows-x86_64 | 1.1.0 | 6.00 | 86.00 | 92.00 | OK | |
| r-oldrel-macos-arm64 | 1.1.0 | OK | ||||
| r-oldrel-macos-x86_64 | 1.1.0 | 4.00 | 76.00 | 80.00 | OK | |
| r-oldrel-windows-x86_64 | 1.1.0 | 6.00 | 148.00 | 154.00 | OK |
Version: 1.1.0
Check: CRAN incoming feasibility
Result: NOTE
Maintainer: ‘Jan Wijffels <jwijffels@bnosac.be>’
Package CITATION file contains call(s) to old-style personList() or
as.personList(). Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry(). Please
use bibentry() instead.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 1.1.0
Check: examples
Result: ERROR
Running examples in ‘RMOA-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: predict.MOA_trainedmodel
> ### Title: Predict using a MOA classifier, MOA regressor or MOA recommender
> ### on a new dataset
> ### Aliases: predict.MOA_trainedmodel
>
> ### ** Examples
>
> ## Hoeffdingtree
> hdt <- HoeffdingTree(numericEstimator = "GaussianNumericAttributeClassObserver")
> data(iris)
> ## Make a training set
> iris <- factorise(iris)
> traintest <- list()
> traintest$trainidx <- sample(nrow(iris), size=nrow(iris)/2)
> traintest$trainingset <- iris[traintest$trainidx, ]
> traintest$testset <- iris[-traintest$trainidx, ]
> irisdatastream <- datastream_dataframe(data=traintest$trainingset)
> ## Train the model
> hdtreetrained <- trainMOA(model = hdt,
+ Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width,
+ data = irisdatastream)
>
> ## Score the model on the holdoutset
> scores <- predict(hdtreetrained,
+ newdata=traintest$testset[, c("Sepal.Length","Sepal.Width","Petal.Length","Petal.Width")],
+ type="response")
> str(scores)
chr [1:75] "setosa" "setosa" "setosa" "setosa" "setosa" "setosa" "setosa" ...
> table(scores, traintest$testset$Species)
scores setosa versicolor virginica
setosa 22 0 0
versicolor 0 28 2
virginica 0 2 21
> scores <- predict(hdtreetrained, newdata=traintest$testset, type="votes")
> head(scores)
setosa versicolor virginica
[1,] 2.1116956 5.814254e-24 3.626837e-23
[2,] 1.0692703 3.750871e-24 4.501561e-24
[3,] 0.9214671 1.344403e-22 2.681703e-23
[4,] 2.0708417 7.756787e-25 1.596365e-23
[5,] 2.3213611 8.046016e-23 9.878775e-23
[6,] 0.2389012 1.283804e-23 3.152946e-24
>
> ## Prediction based on recommendation engine
> require(recommenderlab)
Loading required package: recommenderlab
Warning in library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, :
there is no package called ‘recommenderlab’
> data(MovieLense)
Warning in data(MovieLense) : data set ‘MovieLense’ not found
> x <- getData.frame(MovieLense)
Error in getData.frame(MovieLense) :
could not find function "getData.frame"
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc