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Distributions are objects, which are constructed from whatever parameters
the distribution may have.
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Member functions allow you to retrieve the parameters of a distribution.
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Generic non-member functions provide access to the properties that
are common to all the distributions (PDF, CDF, quantile etc).
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Complements of probabilities are calculated by wrapping the function's
arguments in a call to
complement(...).
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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(...).
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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.
