* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘tsensembler’ ...
** this is package ‘tsensembler’ version ‘0.1.0’
** package ‘tsensembler’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
  converting help for package ‘tsensembler’
    finding HTML links ... done
    ADE-class                               html  
    ADE                                     html  
    DETS-class                              html  
    DETS                                    html  
    EMASE                                   html  
    ade_hat-class                           html  
    ade_hat                                 html  
    ae                                      html  
    base_ensemble-class                     html  
    base_ensemble                           html  
    base_models_loss                        html  
    best_mvr                                html  
    blocked_prequential                     html  
    bm_cubist                               html  
    bm_ffnn                                 html  
    bm_gaussianprocess                      html  
    bm_gbm                                  html  
    bm_glm                                  html  
    bm_mars                                 html  
    bm_pls_pcr                              html  
    bm_ppr                                  html  
    bm_randomforest                         html  
    bm_svr                                  html  
    bm_xgb                                  html  
    build_base_ensemble                     html  
    build_committee                         html  
    combine_predictions                     html  
    compute_predictions                     html  
    dets_hat-class                          html  
    dets_hat                                html  
    embed_timeseries                        html  
    get_target                              html  
    get_top_models                          html  
    get_y                                   html  
    holdout                                 html  
    intraining_estimations                  html  
    intraining_predictions                  html  
    l1apply                                 html  
    learning_base_models                    html  
    loss_meta_learn                         html  
    meta_cubist                             html  
    meta_cubist_predict                     html  
    meta_ffnn                               html  
    meta_ffnn_predict                       html  
    meta_gp                                 html  
    meta_gp_predict                         html  
    meta_lasso                              html  
    meta_lasso_predict                      html  
    meta_mars                               html  
    meta_mars_predict                       html  
    meta_pls                                html  
    meta_pls_predict                        html  
    meta_ppr                                html  
    meta_ppr_predict                        html  
    meta_predict                            html  
    meta_rf                                 html  
    meta_rf_predict                         html  
    meta_svr                                html  
    meta_svr_predict                        html  
    meta_xgb                                html  
    meta_xgb_predict                        html  
    model_recent_performance                html  
    model_specs-class                       html  
    model_specs                             html  
    model_weighting                         html  
    mse                                     html  
    normalize                               html  
    predict-methods                         html  
    predict_pls_pcr                         html  
    proportion                              html  
    rbind_l                                 html  
    recent_lambda_observations              html  
    rmse                                    html  
    roll_mean_matrix                        html  
    se                                      html  
    select_best                             html  
    sequential_reweighting                  html  
    sliding_similarity                      html  
    soft.completion                         html  
    softmax                                 html  
    split_by                                html  
    train_ade                               html  
    train_ade_quick                         html  
    tsensembler                             html  
    update_ade                              html  
    update_ade_meta                         html  
    update_base_models                      html  
    update_weights                          html  
    water_consumption                       html  
    xgb_optimizer                           html  
    xgb_predict                             html  
    xgb_predict_                            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 (tsensembler)