API for FakeDataR
Privacy-Preserving Synthetic Data for 'LLM' Workflows

Global functions
.default_sensitive_groups Source code
.default_sensitive_patterns Source code
.default_sensitive_regex Source code
.detect_sensitive_label Source code
.detect_sensitive_logical Source code Source code
.detect_sensitive_name Source code
.df_schema_to_list_schema Source code
.fake_email Source code
.fake_id_like Source code
.fake_phone_like Source code
.generate_fake_with_preset Source code
.looks_like_percent Source code
.looks_like_yesno Source code
.mask_from_examples Source code
.mask_like Source code
.maybe_parse_datetime Source code
.normalize_columns Source code
.normalize_input Source code
.percent_to_numeric Source code
.safe_minmax Source code
.schema_from_data Source code
.sql_type_to_r Source code
`%||%` Source code Source code
detect_sensitive_columns Man page Source code
export_fake Man page Source code
generate_fake_data Man page Source code
generate_fake_from_schema Man page Source code
generate_fake_posixct_column Man page Source code
generate_fake_with_privacy Man page Source code
generate_llm_prompt Man page Source code
identify_sensitive_cols Source code
llm_bundle Man page Source code
llm_bundle_from_db Man page Source code
prepare_input_data Man page Source code
schema_from_db Man page Source code
validate_fake Man page Source code
zip_llm_bundle Man page Source code
FakeDataR documentation built on Nov. 6, 2025, 1:15 a.m.