# Superlatively Fast Fuzzy Joins

## Documentation for package ‘zoomerjoin’ version 0.1.4

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

## Help Pages

zoomerjoin-package | zoomerjoin: Superlatively Fast Fuzzy Joins
dime_data | Donors from DIME Database
em_link | Fit a Probabilistic Matching Model using Naive Bayes + E.M.
euclidean_anti_join | Spatial Anti Join Using LSH
euclidean_curve | Plot S-Curve for a LSH with given hyperparameters
euclidean_full_join | Spatial Full Join Using LSH
euclidean_inner_join | Spatial Inner Join Using LSH
euclidean_left_join | Spatial Left Join Using LSH
euclidean_probability | Find Probability of Match Based on Similarity
euclidean_right_join | Spatial Right Join Using LSH
jaccard_anti_join | Fuzzy anti-join using minihashing
jaccard_curve | Plot S-Curve for a LSH with given hyperparameters
jaccard_full_join | Fuzzy full-join using minihashing
jaccard_hyper_grid_search | Help Choose the Appropriate LSH Hyperparameters
jaccard_inner_join | Fuzzy inner-join using minihashing
jaccard_left_join | Fuzzy left-join using minihashing
jaccard_probability | Find Probability of Match Based on Similarity
jaccard_right_join | Fuzzy right-join using minihashing
jaccard_similarity | Calculate jaccard_similarity of two character vectors
jaccard_string_group | Fuzzy String Grouping Using Minhashing
zoomerjoin | zoomerjoin: Superlatively Fast Fuzzy Joins