Package: ibelief 1.3.1
Kuang Zhou
ibelief: Belief Function Implementation
Some basic functions to implement belief functions including: transformation between belief functions using the method introduced by Philippe Smets <arxiv:1304.1122>, evidence combination, evidence discounting, decision-making, and constructing masses. Currently, thirteen combination rules and six decision rules are supported. It can also be used to generate different types of random masses when working on belief combination and conflict management.
Authors:
ibelief_1.3.1.tar.gz
ibelief_1.3.1.tar.gz(r-4.5-noble)ibelief_1.3.1.tar.gz(r-4.4-noble)
ibelief_1.3.1.tgz(r-4.4-emscripten)ibelief_1.3.1.tgz(r-4.3-emscripten)
ibelief.pdf |ibelief.html✨
ibelief/json (API)
NEWS
| # Install 'ibelief' in R: |
| install.packages('ibelief', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:9975f21ff8. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
Exports:beltobbeltombeltoplbeltoqbtobelbtombtoplbtoqbtovConflictTabledecisionDSTdiscountingDSTLCPrincplemtobmtobelmtobetpmtocontourmtonmmtoplmtoqmtovmtowPCR6pltobpltobelpltompltoqqtomqtowRandomMassvtobvtomwtomwtoq
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Computing the conflict table | ConflictTable |
| Decision Rules | decisionDST |
| Discounting masses | discounting |
| Combination rules | DST |
| Fast Mobius Transform | beltob beltom beltopl beltoq btobel btom btopl btoq btov mtob mtobel mtobetp mtocontour mtonm mtopl mtoq mtov mtow pltob pltobel pltom pltoq qtom qtow vtob vtom wtom wtoq |
| Least-Committed Principle for creating bbas | LCPrincple |
| PCR6 rule | PCR6 |
| Generating masses | RandomMass |