{
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  "Title": "Multicriteria Risk Management using Zero-Sum Games with\nVector-Valued Payoffs that are Probability Distributions",
  "Version": "2.0.2",
  "Date": "2022-12-06",
  "Author": "Stefan Rass, Sandra Koenig, Ali Alshawish",
  "Maintainer": "\"Stefan Rass, on behalf of the Austrian Institute of\nTechnology\" <stefan.rass@jku.at>",
  "Description": "Construction and analysis of multivalued zero-sum matrix\ngames over the abstract space of probability distributions,\nwhich describe the losses in each scenario of defense vs.\nattack action. The distributions can be compiled directly from\nexpert opinions or other empirical data (insofar available).\nThe package implements the methods put forth in the EU project\nHyRiM (Hybrid Risk Management for Utility Networks), FP7 EU\nProject Number 608090. The method has been published in Rass,\nS., König, S., Schauer, S., 2016. Decisions with Uncertain\nConsequences-A Total Ordering on Loss-Distributions. PLoS ONE\n11, e0168583. <doi:10.1371/journal.pone.0168583>, and applied\nfor advanced persistent thread modeling in Rass, S., König, S.,\nSchauer, S., 2017. Defending Against Advanced Persistent\nThreats Using Game-Theory. PLoS ONE 12, e0168675.\n<doi:10.1371/journal.pone.0168675>. A volume covering the wider\nrange of aspects of risk management, partially based on the\ntheory implemented in the package is the book edited by S. Rass\nand S. Schauer, 2018. Game Theory for Security and Risk\nManagement: From Theory to Practice. Springer,\n<doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.",
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    "print.mosg.lossdistribution",
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    "quantile.mosg.lossdistribution",
    "summary.mosg.equilibrium",
    "summary.mosg.lossdistribution",
    "variance"
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    {
      "page": "HyRiM-package",
      "title": "Multicriteria Risk Management using Zero-Sum Games with Vector-Valued Payoffs that are Probability Distributions",
      "concept": [
        "multi-objective game theory",
        "stochastic games",
        "risk management",
        "stochastic order",
        "equilibrium",
        "security strategy"
      ],
      "topics": [
        "HyRiM-package",
        "HyRiM"
      ]
    },
    {
      "page": "z[.mosg",
      "title": "Extract or replace parts of a game's payoff matrix",
      "topics": [
        "[.mosg",
        "[<-.mosg"
      ]
    },
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      "title": "(cumulative) loss distribution function",
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        "cdf"
      ]
    },
    {
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      "title": "computation of the disappointment rate",
      "topics": [
        "disappointmentRate"
      ]
    },
    {
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      "topics": [
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        "lossDistribution",
        "mean.mosg.lossdistribution",
        "plot.mosg.lossdistribution",
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      ]
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      "topics": [
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        "mosg",
        "plot.mosg",
        "print.mosg"
      ]
    },
    {
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      "title": "embodies all information related to a lexicographic Nash equilibrium computed by the function 'mgss'.",
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        "print.mosg.equilibrium",
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      ]
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