* 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)