Man pages for AIscreenR
AI Screening Tools in R for Systematic Reviewing
| AIscreenR-package | AIscreenR: AI Screening Tools in R for Systematic Reviewing |
| approximate_price_gpt | Approximate price estimation for title and abstract screening... |
| create_fine_tune_data | Function to generate dataset to be used for fine-tuning... |
| disagreements | Disagreement sample data |
| filges2015_dat | RIS file data from Functional Family Therapy (FFT) systematic... |
| get_api_key | Get API key from R environment variable. |
| get_api_key_groq | Get GROQ API key from R environment variable. |
| groq_model_prizes | Groq model prices (last updated March 18, 2026) |
| is_chatgpt | Test if the object is a "chatgpt" object |
| is_chatgpt_tbl | Test if the object is a "chatgpt_tbl" object |
| is_gpt | Test if the object is a "gpt" object |
| is_gpt_agg_tbl | Test if the object is a "gpt_agg_tbl" object |
| is_gpt_tbl | Test if the object is a "gpt_tbl" object |
| model_prizes | Model prize data (last updated March 18, 2026) |
| print.chatgpt | Print methods for "chatgpt" objects |
| print.gpt | Print methods for "gpt" objects |
| print.gpt_price | Print methods for "gpt_price" objects |
| print.groq | Print method for 'groq' objects |
| rate_limits_per_minute | Find updated rate limits for API models |
| read_ris_to_dataframe | Read an RIS file into a data frame |
| report | Generate a report for screening disagreements between human... |
| sample_references | Random sample references |
| save_dataframe_to_ris | Write a data frame to a RIS file |
| save_fine_tune_data | Function to write/save fine tune dataset in required jsonl... |
| screen_analyzer | Analyze performance between the human and AI screening. |
| screen_errors | Generic function to re-screen failed title and abstract... |
| screen_errors.chatgpt | Re-screen failed requests. |
| screen_errors.gpt | Re-screen failed requests. |
| set_api_key | Creating a temporary R environment API key variable |
| tabscreen_gpt.original | Title and abstract screening with GPT API models using... |
| tabscreen_gpt.tools | Title and abstract screening with GPT API models using... |
| tabscreen_groq | Title and abstract screening with GROQ API models using... |
| tabscreen_ollama | Title and abstract screening with OLLAMA API models using... |
