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ibelief  

Belief Function Implementation
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]
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 29 Mar. 2025.
Previous versions and publish date:
1.0 (2014-10-07 11:20), 1.1 (2015-05-15 21:44), 1.2 (2015-07-16 14:24), 1.3 (2019-10-25 19:00)
Other packages that cited ibelief R package
View ibelief citation profile
Other R packages that ibelief depends, 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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