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Compute and use cumulative distribution and quantile functions

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A simple interface for building and using cumulative distribution functions and quantile functions.

A common use of a cumulative distribution function is to map a uniform random variable into a nonuniform distribution.

An inverse cumulative distribution function or quantile function does the opposite - it can map a nonuniformally distributed random variable into a uniformly distributed space.

These two components can be used together to create a mapping from one non-uniform space to a different one.

In this module, the uniform side of a distribution function has a domain of [0, 1]. The non-uniform side may have any range.

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