* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘auditor’ ...
** this is package ‘auditor’ version ‘1.3.5’
** package ‘auditor’ 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 ‘auditor’
finding HTML links ... done
audit html
auditorData html
check_residuals html
check_residuals_autocorrelation html
check_residuals_outliers html
check_residuals_trend html
model_cooksdistance html
model_evaluation html
model_halfnormal html
model_performance html
model_residual html
plot html
plotD3 html
plotD3_acf html
plotD3_autocorrelation html
plotD3_cooksdistance html
plotD3_halfnormal html
plotD3_lift html
plotD3_prediction html
plotD3_rec html
plotD3_residual html
plotD3_roc html
plotD3_rroc html
plotD3_scalelocation html
plot_acf html
plot_autocorrelation html
plot_cooksdistance html
plot_correlation html
plot_halfnormal html
plot_lift html
plot_pca html
plot_prediction html
plot_radar html
plot_rec html
plot_residual html
plot_residual_boxplot html
plot_residual_density html
plot_roc html
plot_rroc html
plot_scalelocation html
plot_tsecdf html
print.auditor_model_cooksdistance html
print.auditor_model_evaluation html
print.auditor_model_halfnormal html
print.auditor_model_performance html
print.auditor_model_residual html
print.auditor_score html
score html
score_acc html
score_auc html
score_auprc html
score_cooksdistance html
score_dw html
score_f1 html
score_gini html
score_halfnormal html
score_mae html
score_mse html
score_one_minus_acc html
score_one_minus_auc html
score_one_minus_auprc html
score_one_minus_f1 html
score_one_minus_gini html
score_one_minus_precision html
score_one_minus_recall html
score_one_minus_specificity html
score_peak html
score_precision html
score_r2 html
score_rec html
score_recall html
score_rmse html
score_rroc html
score_runs html
score_specificity 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 (auditor)