* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘probably’ ...
** package ‘probably’ 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 ‘probably’
    finding HTML links ... done
    append_class_pred                       html  
    as_class_pred                           html  
    boosting_predictions                    html  
    cal_apply                               html  
    cal_binary_tables                       html  
    cal_estimate_beta                       html  
    cal_estimate_isotonic                   html  
    cal_estimate_isotonic_boot              html  
    cal_estimate_linear                     html  
    cal_estimate_logistic                   html  
    cal_estimate_multinomial                html  
    cal_plot_breaks                         html  
    cal_plot_logistic                       html  
    cal_plot_regression                     html  
    cal_plot_windowed                       html  
    cal_validate_beta                       html  
    cal_validate_isotonic                   html  
    cal_validate_isotonic_boot              html  
    cal_validate_linear                     html  
    cal_validate_logistic                   html  
    cal_validate_multinomial                html  
    class_pred                              html  
    collect_metrics.cal_rset                html  
    collect_predictions.cal_rset            html  
    control_conformal_full                  html  
    int_conformal_cv                        html  
    int_conformal_full                      html  
    int_conformal_quantile                  html  
    int_conformal_split                     html  
    is_class_pred                           html  
    levels.class_pred                       html  
    locate-equivocal                        html  
    make_class_pred                         html  
    predict.int_conformal_full              html  
    probably-package                        html  
    reexports                               html  
    reportable_rate                         html  
    required_pkgs.cal_object                html  
    segment_naive_bayes                     html  
    species_probs                           html  
    threshold_perf                          html  
*** copying figures
** building package indices
** installing vignettes
** 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 (probably)