Package: dst Type: Package Title: Using the Theory of Belief Functions Encoding: UTF-8 Version: 1.9.0 Date: 2024-08-24 Authors@R: c(person(given = "Peiyuan", family = "Zhu", role = c("aut","cre"), email = "garyzhubc@gmail.com"), person(given = "Claude", family = "Boivin", role = c("aut"), email = "webapp.cb@gmail.com")) Description: 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. License: GPL (>= 2) LazyData: true BugReports: https://github.com/RAPLER/dst-1/issues RoxygenNote: 7.3.3 Depends: R (>= 3.5.0) Imports: dplyr, ggplot2, tidyr, Matrix, methods, parallel, rlang, utils, bit, progress Suggests: igraph, knitr, rmarkdown, tidyverse, testthat VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev Repository: https://rapler.r-universe.dev Date/Publication: 2026-10-12 19:18:18 UTC RemoteUrl: https://github.com/rapler/dst-1 RemoteRef: HEAD RemoteSha: 21d3b621e0b53e75d492a94f31996108677b6352 NeedsCompilation: no Packaged: 2026-10-12 23:58:28 UTC; root Author: Peiyuan Zhu [aut, cre], Claude Boivin [aut] Maintainer: Peiyuan Zhu