Missing Data Imputation via Language Models and Statistics

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Documentation for package ‘llmimpute’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.data.frame.lmi_result	Extract the imputed data frame from an lmi_result
lmi_diagnose	Diagnose missing data in a data frame
lmi_export	Export imputed data and audit trail to files
lmi_get_model	Set the LLM model used for imputation
lmi_impute	Impute missing values using LLM or built-in statistical methods
lmi_impute_offline	Impute missing values using built-in statistical and ML methods (no API required)
lmi_methods	List all available offline imputation methods
lmi_models	List recommended models for each supported LLM provider
lmi_providers	List all supported LLM providers
lmi_set_api_key	Configure the API key and LLM provider for llmimpute
lmi_set_model	Set the LLM model used for imputation
print.lmi_result	Print an lmi_result object
summary.lmi_result	Summarise an lmi_result object