R: Superlatively Fast Fuzzy Joins

# Superlatively Fast Fuzzy Joins

## Documentation for package ‘zoomerjoin’ version 0.2.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

dime_data | Donors from DIME Database
em_link | Fit a Probabilistic Matching Model using Naive Bayes + E.M.
euclidean_anti_join | Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_curve | Plot S-Curve for a LSH with given hyperparameters
euclidean_full_join | Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_inner_join | Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_left_join | Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
euclidean_probability | Find Probability of Match Based on Similarity
euclidean_right_join | Fuzzy joins for Euclidean distance using Locality Sensitive Hashing
fuzzy_join_core | Perform a Fuzzy-Join With an Arbitrary Distance Metric
hamming_anti_join | Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_distance | Calculate Hamming distance of two character vectors
hamming_full_join | Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_inner_join | Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_left_join | Fuzzy joins for Hamming distance using Locality Sensitive Hashing
hamming_probability | Find Probability of Match Based on Similarity
hamming_right_join | Fuzzy joins for Hamming distance using Locality Sensitive Hashing
jaccard_anti_join | Fuzzy joins for Jaccard distance using MinHash
jaccard_curve | Plot S-Curve for a LSH with given hyperparameters
jaccard_full_join | Fuzzy joins for Jaccard distance using MinHash
jaccard_hyper_grid_search | Help Choose the Appropriate LSH Hyperparameters
jaccard_inner_join | Fuzzy joins for Jaccard distance using MinHash
jaccard_left_join | Fuzzy joins for Jaccard distance using MinHash
jaccard_probability | Find Probability of Match Based on Similarity
jaccard_right_join | Fuzzy joins for Jaccard distance using MinHash
jaccard_similarity | Calculate Jaccard Similarity of two character vectors
jaccard_string_group | Fuzzy String Grouping Using Minhashing