* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘traineR’ ...
** this is package ‘traineR’ version ‘2.2.2’
** package ‘traineR’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** byte-compile and prepare package for lazy loading
Note: ... may be used in an incorrect context
** help
*** installing help indices
converting help for package ‘traineR’
finding HTML links ... done
ROC.area html
ROC.plot html
categorical.predictive.power html
confusion.matrix html
contr.dummy html
contr.metric html
contr.ordinal html
create.model html
create.prediction html
dummy.data.frame html
general.indexes html
get.default.parameters html
get_test_less_predict html
gg_color html
importance.plot html
max_col html
numeric_to_predict html
numerical.predictive.power html
original_model html
plot.prmdt html
predict.ada.prmdt html
predict.adabag.prmdt html
predict.bayes.prmdt html
predict.gbm.prmdt html
predict.glm.prmdt html
predict.glmnet.prmdt html
predict.knn.prmdt html
predict.lda.prmdt html
predict.neuralnet.prmdt html
predict.nnet.prmdt html
predict.qda.prmdt html
predict.randomForest.prmdt html
predict.rpart.prmdt html
predict.svm.prmdt html
predict.xgb.Booster.prmdt html
prediction.variable.balance html
print.indexes.prmdt html
print.prediction.prmdt html
print.prmdt html
scaler html
select_on_class html
train.ada html
train.adabag html
train.bayes html
train.gbm html
train.glm html
train.glmnet html
train.knn html
train.lda html
train.neuralnet html
train.nnet html
train.qda html
train.randomForest html
train.rpart html
train.svm html
train.xgboost html
traineR html
type_correction html
varplot html
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (traineR)