Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
|Author||Claude Boivin, Stat.ASSQ <[email protected]>|
|Maintainer||Claude Boivin <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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