Description
Belief Function Implementation.
Description
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.
README.md
ibelief
The R package ibelief aims to provide some basic functions to implement belief function theory.
Installation
You can install the stable version on CRAN:
install.packages("ibelief", dependencies = TRUE)
Also you can download the newest source folder of the package from GitHub, and build the package yourselves:
git clone https://github.com/kuangzhou/ibelief.git
R CMD build ibelief
Then you can install the package using R CMD INSTALL command
R CMD INSTALL ibelief_*.tar.gz
or install the package from source in R:
install.packages("~/ibelief_*.tar.gz", repos = NULL, type = "source")
Change information
For the stable version on CRAN
see the NEWS-CRAN file
For the latest beta version on GitHub
see the NEWS-BETA file.