* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘probably’ ...
** this is package ‘probably’ version ‘1.2.0’
** 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
bound_prediction 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_estimate_none 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
cal_validate_none html
class_pred html
collect_metrics.cal_rset html
collect_predictions.cal_rset html
control_conformal_full html
inf_conformal-butcher 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
required_pkgs.int_conformal_cv 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)