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  "Package": "ROptEst",
  "Version": "1.3.5",
  "Date": "2025-01-12",
  "Title": "Optimally Robust Estimation",
  "Description": "R infrastructure for optimally robust estimation in\ngeneral smoothly parameterized models using S4 classes and\nmethods as described Kohl, M., Ruckdeschel, P., and Rieder, H.\n(2010), <doi:10.1007/s10260-010-0133-0>, and in Rieder, H.,\nKohl, M., and Ruckdeschel, P. (2008),\n<doi:10.1007/s10260-007-0047-7>.",
  "Authors@R": "c(person(\"Matthias\", \"Kohl\", role=c(\"cre\", \"cph\"),\nemail=\"Matthias.Kohl@stamats.de\", comment = c(ORCID = \"0000-0001-9514-8910\")),\nperson(\"Mykhailo\", \"Pupashenko\", role=\"ctb\", comment=\"contributed wrapper\nfunctions for diagnostic plots\"), person(\"Gerald\", \"Kroisandt\", role=\"ctb\",\ncomment=\"contributed testing routines\"), person(\"Peter\", \"Ruckdeschel\",\nrole=c(\"aut\", \"cph\"), comment = c(ORCID = \"0000-0001-7815-4809\")))",
  "ByteCompile": "yes",
  "License": "LGPL-3",
  "URL": "http://robast.r-forge.r-project.org/",
  "Encoding": "UTF-8",
  "LastChangedDate": "{$LastChangedDate$}",
  "LastChangedRevision": "{$LastChangedRevision$}",
  "VCS/SVNRevision": "1323",
  "Repository": "https://r-forge.r-universe.dev",
  "Date/Publication": "2025-01-19 16:58:14 UTC",
  "RemoteUrl": "https://github.com/r-forge/robast",
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  "Packaged": {
    "Date": "2026-09-19 06:36:51 UTC",
    "User": "root"
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  "Author": "Matthias Kohl [cre, cph] (ORCID:\n<https://orcid.org/0000-0001-9514-8910>),\nMykhailo Pupashenko [ctb] (contributed wrapper functions for diagnostic\nplots),\nGerald Kroisandt [ctb] (contributed testing routines),\nPeter Ruckdeschel [aut, cph] (ORCID:\n<https://orcid.org/0000-0001-7815-4809>)",
  "Maintainer": "Matthias Kohl <Matthias.Kohl@stamats.de>",
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  "_created": "2026-09-19T06:36:51.000Z",
  "_published": "2026-09-19T06:49:15.917Z",
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    ".MBRE.th",
    ".OMSE.th",
    ".readGridFromCSV",
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    ".saveGridToCSV",
    "asAnscombe",
    "asL1",
    "asL4",
    "checkIC",
    "cniperCont",
    "cniperPoint",
    "cniperPointPlot",
    "CniperPointPlot",
    "comparePlot",
    "eff",
    "genkStepCtrl",
    "gennbCtrl",
    "genstartCtrl",
    "genstartICCtrl",
    "get.asGRisk.fct",
    "getAsRisk",
    "getBiasIC",
    "getFixClip",
    "getFixRobIC",
    "getIneffDiff",
    "getInfCent",
    "getInfClip",
    "getInfGamma",
    "getInfRad",
    "getInfRobIC",
    "getInfStand",
    "getInfV",
    "getL1normL2deriv",
    "getL2normL2deriv",
    "getLagrangeMultByIter",
    "getLagrangeMultByOptim",
    "getMaxIneff",
    "getModifyIC",
    "getRadius",
    "getReq",
    "getRiskFctBV",
    "getRiskIC",
    "getStartIC",
    "kStepTimings",
    "leastFavorableRadius",
    "lowerCaseRadius",
    "makeIC",
    "MBREstimator",
    "minmaxBias",
    "OBREstimator",
    "OMSEstimator",
    "optIC",
    "optRisk",
    "plot",
    "radiusMinimaxIC",
    "RMXEstimator",
    "robest",
    "roptest",
    "roptest.old",
    "roptestCall",
    "scaleUpdateIC",
    "updateNorm"
  ],
  "_help": [
    {
      "page": "0ROptEst-package",
      "title": "Optimally robust estimation",
      "topics": [
        "ROptEst-package",
        "ROptEst"
      ]
    },
    {
      "page": "asAnscombe",
      "title": "Generating function for asAnscombe-class",
      "concept": [
        "Hampel risk",
        "risk"
      ],
      "topics": [
        "asAnscombe"
      ]
    },
    {
      "page": "asAnscombe-class",
      "title": "Asymptotic Anscombe risk",
      "concept": [
        "Hampel risk",
        "risk"
      ],
      "topics": [
        "asAnscombe-class",
        "eff",
        "eff,asAnscombe-method",
        "show,asAnscombe-method"
      ]
    },
    {
      "page": "asL1",
      "title": "Generating function for asMSE-class",
      "concept": [
        "asymptotic mean square error",
        "risk"
      ],
      "topics": [
        "asL1"
      ]
    },
    {
      "page": "asL1-class",
      "title": "Asymptotic mean absolute error",
      "concept": [
        "mean absolute error risk",
        "risk"
      ],
      "topics": [
        "asL1-class"
      ]
    },
    {
      "page": "asL4",
      "title": "Generating function for asL4-class",
      "concept": [
        "asymptotic mean square error",
        "risk"
      ],
      "topics": [
        "asL4"
      ]
    },
    {
      "page": "asL4-class",
      "title": "Asymptotic mean power 4 error",
      "concept": [
        "asymptotic risk",
        "risk"
      ],
      "topics": [
        "asL4-class"
      ]
    },
    {
      "page": "checkmakeIC",
      "title": "Methods for Checking and Making ICs",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "checkIC",
        "checkIC,ContIC,L2ParamFamily-method",
        "makeIC",
        "makeIC,ContIC,L2ParamFamily-method"
      ]
    },
    {
      "page": "cniperCont",
      "title": "Functions for Computation and Plot of Cniper Contamination and Cniper Points.",
      "concept": [
        "cniper contamination",
        "cniper point"
      ],
      "topics": [
        "cniperCont",
        "cniperPoint",
        "cniperPointPlot"
      ]
    },
    {
      "page": "CniperPointPlotWrapper",
      "title": "Wrapper function for cniperPointPlot - Computation and Plot of Cniper Contamination and Cniper Points",
      "topics": [
        "CniperPointPlot"
      ]
    },
    {
      "page": "comparePlot",
      "title": "Compare - Plots",
      "topics": [
        "comparePlot",
        "comparePlot,IC,IC-method",
        "comparePlot-methods"
      ]
    },
    {
      "page": "getAsGRiskFct-methods",
      "title": "Methods for Function get.asGRisk.fct in Package `ROptEst'",
      "concept": [
        "asymptotic risk",
        "risk"
      ],
      "topics": [
        "get.asGRisk.fct",
        "get.asGRisk.fct,asL1-method",
        "get.asGRisk.fct,asL4-method",
        "get.asGRisk.fct,asMSE-method",
        "get.asGRisk.fct-methods"
      ]
    },
    {
      "page": "getAsRisk",
      "title": "Generic Function for Computation of Asymptotic Risks",
      "concept": [
        "asymptotic risk",
        "risk"
      ],
      "topics": [
        "getAsRisk",
        "getAsRisk,asAnscombe,RealRandVariable,ContNeighborhood,ANY-method",
        "getAsRisk,asAnscombe,UnivariateDistribution,UncondNeighborhood,ANY-method",
        "getAsRisk,asBias,RealRandVariable,ContNeighborhood,ANY-method",
        "getAsRisk,asBias,RealRandVariable,TotalVarNeighborhood,ANY-method",
        "getAsRisk,asBias,UnivariateDistribution,ContNeighborhood,ANY-method",
        "getAsRisk,asBias,UnivariateDistribution,ContNeighborhood,asymmetricBias-method",
        "getAsRisk,asBias,UnivariateDistribution,ContNeighborhood,onesidedBias-method",
        "getAsRisk,asBias,UnivariateDistribution,TotalVarNeighborhood,ANY-method",
        "getAsRisk,asCov,RealRandVariable,ContNeighborhood,ANY-method",
        "getAsRisk,asCov,UnivariateDistribution,ContNeighborhood,ANY-method",
        "getAsRisk,asCov,UnivariateDistribution,TotalVarNeighborhood,ANY-method",
        "getAsRisk,asL1,UnivariateDistribution,Neighborhood,ANY-method",
        "getAsRisk,asL4,UnivariateDistribution,Neighborhood,ANY-method",
        "getAsRisk,asMSE,EuclRandVariable,Neighborhood,ANY-method",
        "getAsRisk,asMSE,UnivariateDistribution,Neighborhood,ANY-method",
        "getAsRisk,asSemivar,UnivariateDistribution,Neighborhood,onesidedBias-method",
        "getAsRisk,asUnOvShoot,UnivariateDistribution,UncondNeighborhood,ANY-method",
        "getAsRisk,trAsCov,RealRandVariable,ContNeighborhood,ANY-method",
        "getAsRisk,trAsCov,UnivariateDistribution,UncondNeighborhood,ANY-method",
        "getAsRisk-methods"
      ]
    },
    {
      "page": "getBiasIC",
      "title": "Generic function for the computation of the asymptotic bias for an IC",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getBiasIC",
        "getBiasIC,HampIC,UncondNeighborhood-method",
        "getBiasIC,TotalVarIC,UncondNeighborhood-method",
        "getBiasIC-methods"
      ]
    },
    {
      "page": "getFixClip",
      "title": "Generic Function for the Computation of the Optimal Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getFixClip",
        "getFixClip,numeric,Norm,fiUnOvShoot,ContNeighborhood-method",
        "getFixClip,numeric,Norm,fiUnOvShoot,TotalVarNeighborhood-method",
        "getFixClip-methods"
      ]
    },
    {
      "page": "getFixRobIC",
      "title": "Generic Function for the Computation of Optimally Robust ICs",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getFixRobIC",
        "getFixRobIC,Norm,fiUnOvShoot,UncondNeighborhood-method",
        "getFixRobIC-methods"
      ]
    },
    {
      "page": "getIneffDiff",
      "title": "Generic Function for the Computation of Inefficiency Differences",
      "topics": [
        "getIneffDiff",
        "getIneffDiff,numeric,L2ParamFamily,UncondNeighborhood,asMSE-method",
        "getIneffDiff-methods"
      ]
    },
    {
      "page": "getInfCent",
      "title": "Generic Function for the Computation of the Optimal Centering Constant/Lower Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfCent",
        "getInfCent,RealRandVariable,ContNeighborhood,BiasType-method",
        "getInfCent,RealRandVariable,TotalVarNeighborhood,BiasType-method",
        "getInfCent,UnivariateDistribution,ContNeighborhood,asymmetricBias-method",
        "getInfCent,UnivariateDistribution,ContNeighborhood,BiasType-method",
        "getInfCent,UnivariateDistribution,ContNeighborhood,onesidedBias-method",
        "getInfCent,UnivariateDistribution,TotalVarNeighborhood,BiasType-method",
        "getInfCent-methods"
      ]
    },
    {
      "page": "getInfClip",
      "title": "Generic Function for the Computation of the Optimal Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfClip",
        "getInfClip,numeric,EuclRandVariable,asMSE,UncondNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asL1,ContNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asL1,TotalVarNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asL4,ContNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asL4,TotalVarNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asMSE,ContNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asMSE,TotalVarNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asSemivar,ContNeighborhood-method",
        "getInfClip,numeric,UnivariateDistribution,asUnOvShoot,UncondNeighborhood-method",
        "getInfClip-methods"
      ]
    },
    {
      "page": "getInfGamma",
      "title": "Generic Function for the Computation of the Optimal Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfGamma",
        "getInfGamma,RealRandVariable,asMSE,ContNeighborhood,BiasType-method",
        "getInfGamma,RealRandVariable,asMSE,TotalVarNeighborhood,BiasType-method",
        "getInfGamma,UnivariateDistribution,asGRisk,ContNeighborhood,BiasType-method",
        "getInfGamma,UnivariateDistribution,asGRisk,TotalVarNeighborhood,BiasType-method",
        "getInfGamma,UnivariateDistribution,asMSE,ContNeighborhood,asymmetricBias-method",
        "getInfGamma,UnivariateDistribution,asMSE,ContNeighborhood,onesidedBias-method",
        "getInfGamma,UnivariateDistribution,asUnOvShoot,ContNeighborhood,BiasType-method",
        "getInfGamma-methods"
      ]
    },
    {
      "page": "getinfLM",
      "title": "Functions to determine Lagrange multipliers",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfLM",
        "getLagrangeMultByIter",
        "getLagrangeMultByOptim"
      ]
    },
    {
      "page": "getInfRad",
      "title": "Generic Function for the Computation of the Optimal Radius for Given Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfRad",
        "getInfRad,numeric,EuclRandVariable,asMSE,UncondNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asL1,ContNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asL1,TotalVarNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asL4,ContNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asL4,TotalVarNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asMSE,ContNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asMSE,TotalVarNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asSemivar,ContNeighborhood-method",
        "getInfRad,numeric,UnivariateDistribution,asUnOvShoot,UncondNeighborhood-method",
        "getInfRad-methods"
      ]
    },
    {
      "page": "getInfRobIC",
      "title": "Generic Function for the Computation of Optimally Robust ICs",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfRobIC",
        "getInfRobIC,RealRandVariable,asAnscombe,UncondNeighborhood-method",
        "getInfRobIC,RealRandVariable,asBias,UncondNeighborhood-method",
        "getInfRobIC,RealRandVariable,asCov,UncondNeighborhood-method",
        "getInfRobIC,RealRandVariable,asGRisk,UncondNeighborhood-method",
        "getInfRobIC,RealRandVariable,asHampel,UncondNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asAnscombe,UncondNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asBias,UncondNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asCov,ContNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asCov,TotalVarNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asGRisk,UncondNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asHampel,UncondNeighborhood-method",
        "getInfRobIC,UnivariateDistribution,asUnOvShoot,UncondNeighborhood-method",
        "getInfRobIC-methods"
      ]
    },
    {
      "page": "getInfStand",
      "title": "Generic Function for the Computation of the Standardizing Matrix",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfStand",
        "getInfStand,RealRandVariable,UncondNeighborhood,BiasType-method",
        "getInfStand,UnivariateDistribution,ContNeighborhood,asymmetricBias-method",
        "getInfStand,UnivariateDistribution,ContNeighborhood,BiasType-method",
        "getInfStand,UnivariateDistribution,ContNeighborhood,onesidedBias-method",
        "getInfStand,UnivariateDistribution,TotalVarNeighborhood,BiasType-method",
        "getInfStand-methods"
      ]
    },
    {
      "page": "getInfV",
      "title": "Generic Function for the Computation of the asymptotic Variance of a Hampel type IC",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getInfV",
        "getInfV,RealRandVariable,ContNeighborhood,BiasType-method",
        "getInfV,RealRandVariable,TotalVarNeighborhood,BiasType-method",
        "getInfV,UnivariateDistribution,ContNeighborhood,asymmetricBias-method",
        "getInfV,UnivariateDistribution,ContNeighborhood,BiasType-method",
        "getInfV,UnivariateDistribution,ContNeighborhood,onesidedBias-method",
        "getInfV,UnivariateDistribution,TotalVarNeighborhood,BiasType-method",
        "getInfV-methods"
      ]
    },
    {
      "page": "getL1normL2deriv",
      "title": "Calculation of L1 norm of L2derivative",
      "concept": [
        "L1norm"
      ],
      "topics": [
        "getL1normL2deriv",
        "getL1normL2deriv,RealRandVariable-method",
        "getL1normL2deriv,UnivariateDistribution-method",
        "getL1normL2deriv-methods"
      ]
    },
    {
      "page": "getL2normL2deriv",
      "title": "Calculation of L2 norm of L2derivative",
      "concept": [
        "L2norm"
      ],
      "topics": [
        "getL2normL2deriv"
      ]
    },
    {
      "page": "getMaxIneff",
      "title": "getMaxIneff - computation of the maximal inefficiency of an IC",
      "concept": [
        "Inefficiency",
        "risk"
      ],
      "topics": [
        "getMaxIneff"
      ]
    },
    {
      "page": "getModifyIC",
      "title": "Generic Function for the Computation of Functions for Slot modifyIC",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getModifyIC",
        "getModifyIC,L2LocationFamily,UncondNeighborhood,asGRisk-method",
        "getModifyIC,L2LocationFamily,UncondNeighborhood,fiUnOvShoot-method",
        "getModifyIC,L2LocationScaleFamily,UncondNeighborhood,asGRisk-method",
        "getModifyIC,L2ParamFamily,Neighborhood,asRisk-method",
        "getModifyIC,L2ScaleFamily,UncondNeighborhood,asGRisk-method",
        "getModifyIC-methods",
        "scaleUpdateIC",
        "scaleUpdateIC,ContNeighborhood-method",
        "scaleUpdateIC,TotalVarNeighborhood-method",
        "scaleUpdateIC,UncondNeighborhood-method",
        "scaleUpdateIC-methods"
      ]
    },
    {
      "page": "getRadius",
      "title": "Computation of the Optimal Radius for Given Clipping Bound",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getRadius"
      ]
    },
    {
      "page": "getReq",
      "title": "getReq - computation of the radius interval where IC1 is better than IC2.",
      "concept": [
        "Hampel risk",
        "risk"
      ],
      "topics": [
        "getReq"
      ]
    },
    {
      "page": "getRiskFctBV-methods",
      "title": "Methods for Function getRiskFctBV in Package `ROptEst'",
      "concept": [
        "risk"
      ],
      "topics": [
        "getRiskFctBV",
        "getRiskFctBV,asL1,ANY-method",
        "getRiskFctBV,asL4,ANY-method",
        "getRiskFctBV-methods"
      ]
    },
    {
      "page": "getRiskIC",
      "title": "Generic function for the computation of a risk for an IC",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "getRiskIC",
        "getRiskIC,HampIC,asCov,missing,L2ParamFamily-method",
        "getRiskIC,HampIC,asCov,missing,missing-method",
        "getRiskIC,TotalVarIC,asCov,missing,L2ParamFamily-method",
        "getRiskIC-methods"
      ]
    },
    {
      "page": "getStartIC-methods",
      "title": "Methods for Function getStartIC in Package `ROptEst'",
      "concept": [
        "asymptotic risk",
        "risk"
      ],
      "topics": [
        "getStartIC",
        "getStartIC,ANY,ANY-method",
        "getStartIC,L2LocationFamily,interpolRisk-method",
        "getStartIC,L2LocationScaleFamily,interpolRisk-method",
        "getStartIC,L2ParamFamily,asAnscombe-method",
        "getStartIC,L2ParamFamily,asBias-method",
        "getStartIC,L2ParamFamily,asCov-method",
        "getStartIC,L2ParamFamily,asGRisk-method",
        "getStartIC,L2ParamFamily,trAsCov-method",
        "getStartIC,L2ScaleFamily,interpolRisk-method",
        "getStartIC-methods"
      ]
    },
    {
      "page": "inputGenerator",
      "title": "Input generating functions for function 'robest'",
      "concept": [
        "k-step construction",
        "optimally robust estimation"
      ],
      "topics": [
        "genkStepCtrl",
        "gennbCtrl",
        "genstartCtrl",
        "genstartICCtrl",
        "inputGenerators"
      ]
    },
    {
      "page": "leastFavorableRadius",
      "title": "Generic Function for the Computation of Least Favorable Radii",
      "concept": [
        "least favorable radius"
      ],
      "topics": [
        "leastFavorableRadius",
        "leastFavorableRadius,L2ParamFamily,UncondNeighborhood,asGRisk-method",
        "leastFavorableRadius-methods"
      ]
    },
    {
      "page": "lowerCaseRadius",
      "title": "Computation of the lower case radius",
      "concept": [
        "lower case radius"
      ],
      "topics": [
        "lowerCaseRadius",
        "lowerCaseRadius,L2ParamFamily,ContNeighborhood,asMSE,ANY-method",
        "lowerCaseRadius,L2ParamFamily,ContNeighborhood,asMSE,asymmetricBias-method",
        "lowerCaseRadius,L2ParamFamily,ContNeighborhood,asMSE,onesidedBias-method",
        "lowerCaseRadius,L2ParamFamily,TotalVarNeighborhood,asMSE,ANY-method",
        "lowerCaseRadius,UnivariateDistribution,ContNeighborhood,asMSE,onesidedBias-method",
        "lowerCaseRadius-methods"
      ]
    },
    {
      "page": "minmaxBias",
      "title": "Generic Function for the Computation of Bias-Optimally Robust ICs",
      "concept": [
        "influence curve"
      ],
      "topics": [
        "minmaxBias",
        "minmaxBias,RealRandVariable,ContNeighborhood,BiasType-method",
        "minmaxBias,RealRandVariable,TotalVarNeighborhood,BiasType-method",
        "minmaxBias,UnivariateDistribution,ContNeighborhood,asymmetricBias-method",
        "minmaxBias,UnivariateDistribution,ContNeighborhood,BiasType-method",
        "minmaxBias,UnivariateDistribution,ContNeighborhood,onesidedBias-method",
        "minmaxBias,UnivariateDistribution,TotalVarNeighborhood,BiasType-method",
        "minmaxBias-methods"
      ]
    },
    {
      "page": "optIC",
      "title": "Generic function for the computation of optimally robust ICs",
      "concept": [
        "robust influence curve",
        "influence curve"
      ],
      "topics": [
        "optIC",
        "optIC,FixRobModel,fiUnOvShoot-method",
        "optIC,InfRobModel,asRisk-method",
        "optIC,InfRobModel,asUnOvShoot-method",
        "optIC-methods"
      ]
    },
    {
      "page": "optRisk",
      "title": "Generic function for the computation of the minimal risk",
      "concept": [
        "risk"
      ],
      "topics": [
        "optRisk",
        "optRisk,FixRobModel,fiUnOvShoot-method",
        "optRisk,InfRobModel,asRisk-method",
        "optRisk,L2ParamFamily,asCov-method",
        "optRisk-methods"
      ]
    },
    {
      "page": "ORobEstimate-class",
      "title": "ORobEstimate-class.",
      "concept": [
        "estimate"
      ],
      "topics": [
        "ICList",
        "ICList,ORobEstimate-method",
        "ksteps",
        "ksteps,ORobEstimate-method",
        "kStepTimings",
        "kStepTimings,ORobEstimate-method",
        "ORobEstimate-class",
        "pICList",
        "pICList,ORobEstimate-method",
        "robestCall",
        "robestCall,ORobEstimate-method",
        "roptestCall",
        "roptestCall,ORobEstimate-method",
        "show,ORobEstimate-method",
        "start,ORobEstimate-method",
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        "startval,ORobEstimate-method",
        "steps",
        "steps,ORobEstimate-method",
        "timings,ORobEstimate-method",
        "uksteps",
        "uksteps,ORobEstimate-method",
        "ustartval",
        "ustartval,ORobEstimate-method"
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    },
    {
      "page": "plot-methods",
      "title": "Methods for Function plot in Package `ROptEst'",
      "topics": [
        "plot",
        "plot,IC,missing-method",
        "plot-methods"
      ]
    },
    {
      "page": "radiusMinimaxIC",
      "title": "Generic function for the computation of the radius minimax IC",
      "concept": [
        "radius minimax influence curve",
        "influence curve"
      ],
      "topics": [
        "radiusMinimaxIC",
        "radiusMinimaxIC,L2ParamFamily,UncondNeighborhood,asGRisk-method",
        "radiusMinimaxIC-methods"
      ]
    },
    {
      "page": "RMXEOMSEMBREOBRE",
      "title": "Optimally robust estimation: RMXE, OMSE, MBRE, and OBRE",
      "concept": [
        "k-step construction",
        "optimally robust estimation"
      ],
      "topics": [
        "MBREstimator",
        "OBREstimator",
        "OMSEstimator",
        "RMXEstimator"
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    {
      "page": "robest",
      "title": "Optimally robust estimation",
      "concept": [
        "k-step construction",
        "optimally robust estimation"
      ],
      "topics": [
        "robest"
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    },
    {
      "page": "roptest",
      "title": "Optimally robust estimation",
      "concept": [
        "k-step construction",
        "optimally robust estimation"
      ],
      "topics": [
        "roptest",
        "roptest.old"
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    },
    {
      "page": "updateNorm-methods",
      "title": "Methods for Function updateNorm in Package `ROptEst'",
      "concept": [
        "asymptotic risk",
        "risk"
      ],
      "topics": [
        "updateNorm",
        "updateNorm,SelfNorm-method",
        "updateNorm-methods"
      ]
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  "_indexed": true,
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