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.
|Suggests:||VGAM, reshape, MASS, hypergeo|
|Author:||G. Jay Kerns [aut, cre, cph]|
|Maintainer:||G. Jay Kerns <gkerns at ysu.edu>|
|License:||GPL (≥ 3)|
|CRAN checks:||prob results|
Elementary Probability on Finite Sample Spaces
|Windows binaries:||r-devel: prob_1.0-0.zip, r-release: prob_1.0-0.zip, r-oldrel: prob_1.0-0.zip|
|OS X Mavericks binaries:||r-release: prob_1.0-0.tgz, r-oldrel: prob_1.0-0.tgz|
|Old sources:||prob archive|
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