* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘traineR’ ...
** 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)