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.


Reference manual

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1.0-0 by G. Jay Kerns, a month ago

http://prob.r-forge.r-project.org, http://gkerns.people.ysu.edu/

Browse source code at https://github.com/cran/prob

Authors: G. Jay Kerns [aut, cre, cph]

Documentation:   PDF Manual  

Task views: Probability Distributions

GPL (>= 3) license

Depends on combinat, fAsianOptions

Suggests VGAM, reshape, MASS, hypergeo

Suggested by IPSUR.

See at CRAN