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ibelief
View on CRAN: Click
here
Download and install ibelief package within the R console
Install from CRAN:
install.packages("ibelief")
Install from Github:
library("remotes")
install_github("cran/ibelief") Install by package version:
library("remotes")
install_version("ibelief", "1.3.1") Attach the package and use:
library("ibelief")
Maintained by
Kuang Zhou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-07
Latest Update: 2021-01-07
Description:
Some basic functions to implement belief functions including:
transformation between belief functions using the method introduced by
Philippe Smets , 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.
How to cite:
Kuang Zhou (2014). ibelief: Belief Function Implementation. R package version 1.3.1, https://cran.r-project.org/web/packages/ibelief. Accessed 06 Mar. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for ibelief
Functions, R codes and Examples using
the ibelief R package
Some associated functions: ConflictTable . DST . FMTfunctions . LCPrincple . PCR6 . RandomMass . decisionDST . discounting .
Some associated R codes: BayesianMass.R . ConflictPCR6.R . ConflictTable.R . DST.R . DST_fmt_functions.R . LCPrinciple.R . PCR6.R . RandomMass.R . dec2bin.R . decisionDST.R . discounting.R . Full ibelief package functions and examples
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