Package index • zoomerjoin

Fuzzy joins for Jaccard distance

jaccard_inner_join() jaccard_anti_join() jaccard_left_join() jaccard_right_join() jaccard_full_join(): Fuzzy joins for Jaccard distance using MinHash

Fuzzy joins for Hamming distance

hamming_inner_join() hamming_anti_join() hamming_left_join() hamming_right_join() hamming_full_join(): Fuzzy joins for Hamming distance using Locality Sensitive Hashing

Fuzzy joins for Euclidean distance

euclidean_anti_join() euclidean_inner_join() euclidean_left_join() euclidean_right_join() euclidean_full_join(): Fuzzy joins for Euclidean distance using Locality Sensitive Hashing

Probabilistic Matching Algorithms

em_link(): Fit a Probabilistic Matching Model using Naive Bayes + E.M.

Extend Zoomerjoin with Custom Functions

fuzzy_join_core(): Perform a Fuzzy-Join With an Arbitrary Distance Metric

String deduplication

jaccard_string_group(): Fuzzy String Grouping Using Minhashing

Utilities

jaccard_similarity(): Calculate Jaccard Similarity of two character vectors

hamming_distance(): Calculate Hamming distance of two character vectors

Diagnostics

jaccard_curve(): Plot S-Curve for a LSH with given hyperparameters

jaccard_probability(): Find Probability of Match Based on Similarity

jaccard_hyper_grid_search(): Help Choose the Appropriate LSH Hyperparameters

euclidean_curve(): Plot S-Curve for a LSH with given hyperparameters

euclidean_probability(): Find Probability of Match Based on Similarity

hamming_probability(): Find Probability of Match Based on Similarity

Data

dime_data: Donors from DIME Database