Sampling from random distributions.
This is a generalization of
Rand to allow parameters to control the
exact properties of the generated values, e.g. the mean and standard
deviation of a normal distribution. The
Sample trait is the most
general, and allows for generating values that change some state
IndependentSample trait is for generating values
that do not need to record state.
The exponential distribution.
The Gamma and derived distributions.
The normal and derived distributions.
Generating numbers between two others.
A wrapper for generating types that implement
A value with a particular weight for use with
A distribution that selects from a finite collection of weighted items.
Types that can be used to create a random instance of