A JavaScript module for generating random seeded distributions and its statistical analysis.

All major algorithms for Random Variables generation from Gamma Distribution.

An efficient random item sampler that ensures O(1) sampling complexity, and equal selection probability for all items across cycles. Each cycle ensures unique, non-repeating item selections, with each item sampled only once per cycle. Upon cycle completion, the sampler automatically refreshes, initiating a new cycle to repeat the process.

MatchMaker performs reiterative resampling procedures to produce random null distributions of data.