* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘nadir’ ...
** this is package ‘nadir’ version ‘0.0.1’
** package ‘nadir’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘nadir’
finding HTML links ... done
add_screener html
binary_learners html
check_simple_lhs html
compare_learners html
cv_character_and_factors_schema html
cv_origami_schema html
cv_random_schema html
cv_super_learner html
cv_super_learner_internal html
density_learners html
determine_super_learner_weights_nnls html
determine_weights_for_binary_outcomes html
determine_weights_using_neg_log_loss html
df_to_survival_stacked html
extract_y_variable html
learners html
list_known_learners html
lnr_earth html
lnr_gam html
lnr_gbm html
lnr_glm html
lnr_glm_density html
lnr_glmer html
lnr_glmnet html
lnr_hal html
lnr_heteroskedastic_density html
lnr_homoskedastic_density html
lnr_lm html
lnr_lm_density html
lnr_lmer html
lnr_logistic html
lnr_mean html
lnr_multinomial_nnet html
lnr_multinomial_vglm html
lnr_nnet html
lnr_ranger html
lnr_ranger_binary html
lnr_rf html
lnr_rf_binary html
lnr_xgboost html
make_learner_names_unique html
mse html
multiclass_learners html
nadir-package html
nadir_supported_types html
negative_log_loss html
negative_log_loss_for_binary html
parse_extra_learner_arguments html
parse_formulas html
predict.nadir_sl_model html
screener_cor html
screener_cor_top_n html
screener_t_test html
screeners html
softmax html
stochastic_round html
super_learner html
validate_learner_types 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 (nadir)