Fast, Flexible, and User-Friendly Record Linkage Methods
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Documentation for package ‘fedmatch’ version 2.0.6
Help Pages
| articles | articles |
| build_clean_settings | Building settings for string cleaning |
| build_corpus | Calculate word corpus for weighted jaccard matching |
| build_fuzzy_settings | Build settings for fuzzy matching |
| build_multivar_settings | Build settings for multivar matching |
| build_score_settings | Build settings for scoring |
| build_tier | Build settings for a tier |
| calculate_weights | Calculate weights for computing matchscore |
| clean_strings | String cleaning for easier matching |
| corporate_words | corporate_words |
| corp_data1 | corp_data1 |
| corp_data2 | corp_data2 |
| fund_words | fund_words |
| fuzzy_match | Use string distances to match on names |
| match_evaluate | evaluate a matched dataset |
| merge_plus | Merge two datasets either by exact, fuzzy, or multivar-based matching |
| multivar_match | Matching by computing multivar_scores based on several variables |
| sp_char_words | sp_char_words |
| State_FIPS | State_FIPS |
| tier_match | Perform an iterative match by tier |
| wgt_jaccard_distance | Computing Weighted Jaccard Distance |
| word_frequency | Compute frequency of words in a corpus |
| World_Bank_Codes | World_Bank_Codes |