Package: HyRiM 2.0.2

"Stefan Rass, on behalf of the Austrian Institute of Technology"

HyRiM: Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability Distributions

Construction and analysis of multivalued zero-sum matrix games over the abstract space of probability distributions, which describe the losses in each scenario of defense vs. attack action. The distributions can be compiled directly from expert opinions or other empirical data (insofar available). The package implements the methods put forth in the EU project HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number 608090. The method has been published in Rass, S., König, S., Schauer, S., 2016. Decisions with Uncertain Consequences-A Total Ordering on Loss-Distributions. PLoS ONE 11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675. <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of aspects of risk management, partially based on the theory implemented in the package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for Security and Risk Management: From Theory to Practice. Springer, <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.

Authors:Stefan Rass, Sandra Koenig, Ali Alshawish

HyRiM_2.0.2.tar.gz
HyRiM_2.0.2.tar.gz(r-4.5-noble)HyRiM_2.0.2.tar.gz(r-4.4-noble)
HyRiM_2.0.2.tgz(r-4.4-emscripten)HyRiM_2.0.2.tgz(r-4.3-emscripten)
HyRiM.pdf |HyRiM.html
HyRiM/json (API)
NEWS

# Install 'HyRiM' in R:
install.packages('HyRiM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 9 scripts 284 downloads 22 exports 16 dependencies

Last updated 2 years agofrom:cb58d0c625. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linuxOKNov 23 2024

Exports:cdfdensity.mosg.lossdistributiondisappointmentRatelossDistributionlossDistribution.mosgmean.mosg.lossdistributionmgssmomentmosgplot.mosgplot.mosg.equilibriumplot.mosg.lossdistributionpreferenceprint.mosgprint.mosg.equilibriumprint.mosg.equilibrium.summaryprint.mosg.lossdistributionprint.summary.mosg.lossdistributionquantile.mosg.lossdistributionsummary.mosg.equilibriumsummary.mosg.lossdistributionvariance

Dependencies:base64encclicomparegluegrImport2jpeglifecyclemagrittrpngpolynompurrrRglpkrlangslamvctrsXML

HyRiM: A Package for Multicriteria Game Theory over the Space of Probability Distributions

Rendered fromvignette.Rnwusingutils::Sweaveon Nov 23 2024.

Last update: 2019-11-18
Started: 2019-11-18

Readme and manuals

Help Manual

Help pageTopics
Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability DistributionsHyRiM-package HyRiM
Extract or replace parts of a game's payoff matrix[.mosg [<-.mosg
(cumulative) loss distribution functioncdf
computation of the disappointment ratedisappointmentRate
construction and handling of loss distributionsdensity.mosg.lossdistribution lossDistribution mean.mosg.lossdistribution plot.mosg.lossdistribution print.mosg.lossdistribution print.summary.mosg.lossdistribution quantile.mosg.lossdistribution summary.mosg.lossdistribution
compute a multi-goal security strategymgss
compute moments of loss distributionsmoment
Construction and handling of multi-objective security gameslossDistribution.mosg mosg plot.mosg print.mosg
embodies all information related to a lexicographic Nash equilibrium computed by the function 'mgss'.plot.mosg.equilibrium print.mosg.equilibrium print.mosg.equilibrium.summary summary.mosg.equilibrium
Decision on preferences between loss distributionspreference
Computes the approximate variance of a loss distribution.variance