dst: Using Dempster-Shafer Theory
Version 1.0.0

Using Dempster-Shafer Theory of Evidence, also called "Theory of Belief Functions". Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values. Two mass functions can be combined using Dempster's rule of combination. 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.

Package details

AuthorClaude Boivin, Stat.ASSQ <[email protected]>
Date of publication2018-04-25 21:34:50 UTC
MaintainerClaude Boivin <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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dst documentation built on April 26, 2018, 1:03 a.m.