| rtransparency-package | rtransparency: Identify indicators of transparency in the biomedical literature |
| rtransparency | rtransparency: Identify indicators of transparency in the biomedical literature |
| rt_accuracy | Detector accuracy estimates |
| rt_ai | Identify disclosure of generative-AI use from a TXT file. |
| rt_ai_pmc | Identify disclosure of generative-AI use from a PMC XML file. |
| rt_all | Identify and extract transparency statements from a TXT file. |
| rt_all_pmc | Identify and extract all transparency indicators from a PMC XML. |
| rt_all_pmc_dir | Identify transparency indicators across many PMC XML files. |
| rt_coi | Identify and extract Conflicts of Interest (COI) statements in TXT files. |
| rt_coi_pmc | Identify and extract Conflicts of Interest (COI) statements in PMC XML files. |
| rt_data_code | Identify and extract Data and Code statements in TXT files. |
| rt_data_code_pmc | Identify and extract Data and Code sharing from PMC XML files. |
| rt_data_code_pmc_list | Identify and extract Data and Code sharing from a list of PMC XML files. |
| rt_demo | Simulated transparency indicators for a corpus of articles |
| rt_fund | Identify and extract Funding statements in TXT files. |
| rt_fund_pmc | Identify and extract Funding statements in PMC XML files. |
| rt_meta_pmc | Extract article metadata from a PMC XML file. |
| rt_novelty | Identify whether a study claims novelty in TXT files. |
| rt_novelty_pmc | Identify and extract novelty claims in PMC XML files. |
| rt_plot | Plot transparency indicators |
| rt_read_pdf | Convert a PDF file to text. |
| rt_register | Identify and extract Registration statements in TXT files. |
| rt_register_pmc | Identify and extract Conflicts of Interest statements in PMC XML files. |
| rt_replication | Identify whether a study includes a replication component in TXT files. |
| rt_replication_pmc | Identify and extract replication components in PMC XML files. |
| rt_score | Count the transparency indicators met by each article |
| rt_summary | Summarize transparency indicators across a corpus of articles |