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.

Version: 1.0-0
Depends: combinat, fAsianOptions
Suggests: VGAM, reshape, MASS, hypergeo
Published: 2017-02-16
Author: G. Jay Kerns [aut, cre, cph]
Maintainer: G. Jay Kerns <gkerns at>
License: GPL (≥ 3)
NeedsCompilation: no
In views: Distributions
CRAN checks: prob results


Reference manual: prob.pdf
Vignettes: Characteristic Functions
Elementary Probability on Finite Sample Spaces
Package source: prob_1.0-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: prob_1.0-0.tgz
OS X Mavericks binaries: r-oldrel: prob_1.0-0.tgz
Old sources: prob archive

Reverse dependencies:

Reverse suggests: IPSUR


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