
Distributions are objects, which are constructed from whatever parameters
the distribution may have.

Member functions allow you to retrieve the parameters of a distribution.

Generic nonmember functions provide access to the properties that
are common to all the distributions (PDF, CDF, quantile etc).

Complements of probabilities are calculated by wrapping the function's
arguments in a call to
complement(...)
.

Functions that accept a probability can accept a complement of the
probability as well, by wrapping the function's arguments in a call
to
complement(...)
.

Static member functions allow the parameters of a distribution to
be found from other information.
Now that you have the basics, the next section looks at some worked examples.