# Probabilistic Streaming Data Sketches

## Documentation for package ‘data.sketches’ version 0.1.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

array_of_doubles | Array of Doubles (Tuple) sketch for estimating sums alongside distinct counts
array_of_doubles_difference | Array of Doubles sketch set operations
array_of_doubles_intersection | Array of Doubles sketch set operations
array_of_doubles_set_operations | Array of Doubles sketch set operations
array_of_doubles_union | Array of Doubles sketch set operations
bloom_filter | Bloom filter for approximate set membership
bloom_filter_suggest | Suggest Bloom filter sizing parameters
bloom_filter_suggest_num_filter_bits | Suggest Bloom filter sizing parameters
bloom_filter_suggest_num_hashes | Suggest Bloom filter sizing parameters
count_min | Count-Min sketch for approximate point-frequency estimation
count_min_suggest | Suggest Count-Min sketch parameters
count_min_suggest_num_buckets | Suggest Count-Min sketch parameters
count_min_suggest_num_hashes | Suggest Count-Min sketch parameters
cpc | CPC sketch for approximate distinct counting
ebpps | EBPPS sketch for proportional-to-size sampling
frequent_items | Frequent Items sketch for approximate frequency estimation
hll | HLL sketch for approximate distinct counting
kll_doubles | KLL sketch for approximate quantiles of a numeric stream
kll_floats | KLL sketch for approximate quantiles of a numeric stream stored as floats
req | REQ sketch for relative-error approximate quantiles of a numeric stream
tdigest_double | t-Digest sketch for approximate quantiles of a numeric stream
theta | Theta sketch for approximate distinct counting and set operations
theta_difference | Theta sketch set operations
theta_intersection | Theta sketch set operations
theta_jaccard | Theta sketch set operations
theta_set_operations | Theta sketch set operations
theta_union | Theta sketch set operations
varopt | VarOpt sketch for variance-optimal sampling and subset-sum estimation
varopt_union | Combine two VarOpt sketches