prob: Elementary Probability on Finite Sample Spaces
A framework for performing elementary probability
calculations on finite sample spaces, which may be represented by data frames
or lists. Functionality includes setting up sample spaces, counting tools,
defining probability spaces, performing set algebra, calculating probability
and conditional probability, tools for simulation and checking the law of
large numbers, adding random variables, and finding marginal distributions.
Characteristic functions for all base R distributions are included.
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