Classes

Kernel density estimation using a Gaussian kernel and automatic bandwidth selection via Silverman’s rule-of-thumb.

A basic implementation of a random number generator that can be given a seed. It depends on srand48() and drand48(), so any calls to those two functions outside of this class will impact the reproducibility of the generator.