Package: dst 1.8.0

Peiyuan Zhu

dst: Using the Theory of Belief Functions

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.

Authors:Peiyuan Zhu [aut, cre], Claude Boivin [aut]

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Bug tracker:https://github.com/rapler/dst-1/issues

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49 exports 6 stars 2.22 score 36 dependencies 119 scripts 926 downloads

Last updated 14 days agofrom:766b10245d. Checks:OK: 7. Indexed: yes.

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