Package: bnmonitor
Type: Package
Title: An Implementation of Sensitivity Analysis in Bayesian Networks
Version: 0.2.2
Authors@R: c(
    person("Manuele", "Leonelli", email = "manuele.leonelli@ie.edu", role = c("aut","cre")),
    person("Ramsiya", "Ramanathan", email = "ramsiya.ramanathan@studio.unibo.it", role = "aut"),
    person("Rachel", "Wilkerson", email = "R.L.Wilkerson@warwick.ac.uk", role = "aut"))
Description: An implementation of sensitivity and robustness methods in
        Bayesian networks in R. It includes methods to perform
        parameter variations via a variety of co-variation schemes, to
        compute sensitivity functions and to quantify the dissimilarity
        of two Bayesian networks via distances and divergences. It
        further includes diagnostic methods to assess the goodness of
        fit of a Bayesian networks to data, including global, node and
        parent-child monitors. Reference: M. Leonelli, R. Ramanathan,
        R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Imports: bnlearn, dplyr, ggplot2, gRain, gRbase, graphics, igraph,
        methods, purrr, qgraph, RColorBrewer, reshape2, rlang, tidyr
Suggests: testthat, knitr, rmarkdown
URL: https://manueleleonelli.github.io/bnmonitor/,
        https://github.com/manueleleonelli/bnmonitor
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libjpeg-dev
        libpng-dev libuv1-dev libxml2-dev
Repository: https://manueleleonelli.r-universe.dev
Date/Publication: 2024-09-30 10:19:03 UTC
RemoteUrl: https://github.com/manueleleonelli/bnmonitor
RemoteRef: HEAD
RemoteSha: cab71e609c07af35b3099484aab5b4112ab37c9b
NeedsCompilation: no
Packaged: 2026-07-03 12:04:44 UTC; root
Author: Manuele Leonelli [aut, cre],
  Ramsiya Ramanathan [aut],
  Rachel Wilkerson [aut]
Maintainer: Manuele Leonelli <manuele.leonelli@ie.edu>
Depends: R (>= 3.5.0)