{ "_id": "6af5bafef58eaab79920bb81", "Package": "PsyLingLLM", "Type": "Package", "Title": "Tools for Psycholinguistic Experiments with Large Language\nModels", "Version": "0.4.0", "Authors@R": "person(\ngiven = \"Han\",\nfamily = \"Ming\",\nemail = \"hanmingpsy@gmail.com\",\nrole = c(\"aut\", \"cre\")\n)", "Description": "Provides tools for designing and running controlled\npsycholinguistic, psychological, cognitive, and educational\nexperiments with large language models. Registry-based\nconfiguration separates models, providers, and application\nprogramming interfaces so that compatible services can share\nexperimental designs. 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Return a structured line and a boolean flag.", "topics": [ "compare_path_line" ] }, { "page": "complete_headers_for_pass2", "title": "Complete headers minimally for Pass-2 (keeps user values)", "topics": [ "complete_headers_for_pass2" ] }, { "page": "conversation_experiment", "title": "Run a Multi-turn Conversation Experiment", "topics": [ "conversation_experiment" ] }, { "page": "default_keyword_lexicon", "title": "Default keyword lexicon for ns/st scoring", "topics": [ "default_keyword_lexicon" ] }, { "page": "default_optional_keys", "title": "Default optional keys for common LLM providers (explicit removal first)", "topics": [ "default_optional_keys" ] }, { "page": "detect_embedded_think_tag", "title": "Detect embedded tags in model output", "topics": [ "detect_embedded_think_tag" ] }, { "page": "ensure_registry_header", "title": "Ensure registry directory exists and header is present", "topics": [ "ensure_registry_header" ] }, { "page": "explain_alias", "title": "Explain how an 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