- 
              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 non-member 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.