# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "llmclean" in publications use:' type: software license: GPL-3.0-only title: 'llmclean: ''LLM''-Assisted Data Cleaning with Multi-Provider Support' version: 0.1.0 doi: 10.32614/CRAN.package.llmclean abstract: 'Detects and suggests fixes for semantic inconsistencies in data frames by calling large language models (LLMs) through a unified, provider-agnostic interface. Supported providers include ''OpenAI'' (''GPT-4o'', ''GPT-4o-mini''), ''Anthropic'' (''Claude''), ''Google'' (''Gemini''), ''Groq'' (free-tier ''LLaMA'' and ''Mixtral''), and local ''Ollama'' models. The package identifies issues that rule-based tools cannot detect: abbreviation variants, typographic errors, case inconsistencies, and malformed values. Results are returned as tidy data frames with column, row index, detected value, issue type, suggested fix, and confidence score. An offline fallback using statistical and fuzzy-matching methods is provided for use without any API key. Interactive fix application with human review is supported via ''apply_fixes()''. Methods follow de Jonge and van der Loo (2013) and Chaudhuri et al. (2003) .' authors: - family-names: Islam given-names: Sadikul email: sadikul.islamiasri@gmail.com orcid: https://orcid.org/0000-0003-2924-7122 repository: https://cran.r-universe.dev commit: ca2c6035cff3ba095da28bf493ff53e4ee4d4c6f date-released: '2026-04-15' contact: - family-names: Islam given-names: Sadikul email: sadikul.islamiasri@gmail.com orcid: https://orcid.org/0000-0003-2924-7122