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.

Version:	1.8.0
Depends:	R (≥ 3.5.0)
Imports:	dplyr, ggplot2, tidyr, Matrix, methods, parallel, rlang, utils
Suggests:	igraph, knitr, rmarkdown, tidyverse, testthat
Published:	2024-09-03
DOI:	10.32614/CRAN.package.dst
Author:	Peiyuan Zhu [aut, cre], Claude Boivin [aut]
Maintainer:	Peiyuan Zhu <garyzhubc at gmail.com>
BugReports:	https://github.com/RAPLER/dst-1/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	dst results

Documentation:

Reference manual:

dst.pdf

Vignettes:

Bayes_Rule (source, R code) Captain_Example (source, R code) Crime_Scene (source, R code) Crime_Scene_Commonality (source, R code) Evidential_Modelling (source, R code) Holmes_Burglary (source, R code) Introduction to Belief Functions (source, R code) PJM_example_DSC (source, R code) PJM_example_DSC_Multivalued_Map (source, R code) PJM_example_DSC_Simplified (source, R code) Reliability_Proof_Machinery (source, R code) Simple_Implication (source, R code) Template (source, R code) The Monty Hall Game (source, R code) The original peter, John and Mary example (source, R code) Peeling algorithm on Zadeh's Example (source, R code)

Downloads:

Package source:	dst_1.8.0.tar.gz
Windows binaries:	r-devel: dst_1.8.0.zip, r-release: dst_1.8.0.zip, r-oldrel: dst_1.8.0.zip
macOS binaries:	r-release (arm64): dst_1.8.0.tgz, r-oldrel (arm64): dst_1.8.0.tgz, r-release (x86_64): dst_1.8.0.tgz, r-oldrel (x86_64): dst_1.8.0.tgz
Old sources:	dst archive

Linking:

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