* installing to library ‘/home/hornik/tmp/R.check/r-patched-gcc/Work/build/Packages’
* installing *source* package ‘BERTopic’ ...
** this is package ‘BERTopic’ version ‘0.1.0’
** package ‘BERTopic’ successfully unpacked and MD5 sums checked
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
converting help for package ‘BERTopic’
finding HTML links ... done
BERTopic-package html
as.data.frame.bertopic_r html
bertopic_as_document_topic_matrix html
bertopic_available html
bertopic_find_topics html
bertopic_fit html
bertopic_get_document_info html
bertopic_get_representative_docs html
bertopic_has_embedding_model html
bertopic_load html
bertopic_reduce_topics html
bertopic_save html
bertopic_self_check html
bertopic_session_info html
bertopic_set_embedding_model html
bertopic_set_topic_labels html
bertopic_topic_terms html
bertopic_topics html
bertopic_topics_over_time html
bertopic_transform html
bertopic_update_topics html
bertopic_visualize_barchart html
bertopic_visualize_distribution html
bertopic_visualize_documents html
bertopic_visualize_heatmap html
bertopic_visualize_hierarchical_documents
html
bertopic_visualize_hierarchy html
bertopic_visualize_term_rank html
bertopic_visualize_topics html
bertopic_visualize_topics_over_time html
bertopic_visualize_topics_per_class html
coef.bertopic_r html
dot-need_py html
fortify.bertopic_r html
get_py_env html
install_py_deps html
install_py_deps_conda html
install_py_deps_venv html
predict.bertopic_r html
print.bertopic_r html
set_bertopic_seed html
sms_spam html
summary.bertopic_r html
use_bertopic html
use_bertopic_condaenv html
use_bertopic_virtualenv 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 (BERTopic)